system

Abstract

We provide the system. [Solution] A means for automatically generating objects and environments in a virtual space using generative AI technology, A means of customizing the experience in a virtual space based on user input, A means of collecting user feedback and improving the virtual space using generative AI technology, A system that includes this.

Description

Technical Field

[0001] The technology of the present disclosure relates to a system.

Background Art

[0002] Patent Document 1 discloses a persona chatbot control method performed by at least one processor, including steps of receiving a user utterance, adding the user utterance to a prompt including an instruction sentence related to an explanation of a chatbot character, encoding the prompt, and inputting the encoded prompt into a language model to generate a chatbot utterance as a response to the user utterance.

Prior Art Documents

Patent Documents

[0003] [[ID=2,3]]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] Conventional virtual space generation systems often provide a fixed experience based on pre-selected options of users, making it difficult to finely accommodate diverse user preferences. Also, there were limitations in the ability to gradually improve the experience based on user actions and feedback. Furthermore, systems capable of processing large-scale data in real time and dynamically reflecting it were very limited.

Means for Solving the Problems

[0005] This invention provides a system that automatically generates objects and environments within a virtual space experienced by a user using generative AI technology, and customizes the virtual experience based on user input. This system is characterized by collecting user feedback and improving the virtual space using generative AI technology based on that feedback. Furthermore, by analyzing user behavior data and providing an optimized virtual experience based on that data, it is possible to respond to dynamically changing user needs.

[0006] "Generative AI technology" is a technology that uses artificial intelligence to automatically generate digital content.

[0007] A "virtual space" is a virtual three-dimensional environment reproduced on a computer, a space that users can experience.

[0008] An "object" is an individual object or element that exists within a virtual space.

[0009] "Environment" refers to the overall setting and atmosphere of the virtual space, including the objects within it.

[0010] "User input" refers to instructions or information that a user provides to a virtual space via a device.

[0011] "Customization" refers to adjusting or changing the user experience based on the user's preferences and needs.

[0012] "Feedback" refers to information such as impressions, evaluations, and requests that users obtain through their virtual experiences.

[0013] "Behavioral data" refers to records of the user's movements, actions, and choices within the virtual space.

[0014] "Real-time" refers to processing or reactions occurring instantly in the present moment.

[0015] "Optimization" means to adjust or improve to the form most suitable for specific purposes or conditions.

Brief Description of Drawings

[0016] [Figure 1] It is a conceptual diagram showing an example of the configuration of a data processing system according to the first embodiment. [Figure 2] It is a conceptual diagram showing an example of the main functions of a data processing device and a smart device according to the first embodiment. [Figure 3] It is a conceptual diagram showing an example of the configuration of a data processing system according to the second embodiment. [Figure 4] It is a conceptual diagram showing an example of the main functions of a data processing device and smart glasses according to the second embodiment. [Figure 5] It is a conceptual diagram showing an example of the configuration of a data processing system according to the third embodiment. [Figure 6] It is a conceptual diagram showing an example of the main functions of a data processing device and a headset-type terminal according to the third embodiment. [Figure 7] It is a conceptual diagram showing an example of the configuration of a data processing system according to the fourth embodiment. [Figure 8] It is a conceptual diagram showing an example of the main functions of a data processing device and a robot according to the fourth embodiment. [Figure 9] It shows an emotion map to which multiple emotions are mapped. [Figure 10] It shows an emotion map to which multiple emotions are mapped. [Figure 11] It is a sequence diagram showing the processing flow of the data processing system in Example 1. [Figure 12] It is a sequence diagram showing the processing flow of the data processing system in Application Example 1. [Figure 13] It is a sequence diagram showing the processing flow of the data processing system in Example 2 when an emotion engine is combined. [Figure 14]It is a sequence diagram showing the processing flow of a data processing system in Application Example 2 when a sentiment engine is combined.

Embodiment for Carrying out the Invention

[0017] Hereinafter, an example of an embodiment of a system according to the technology of the present disclosure will be described with reference to the accompanying drawings.

[0018] First, the terms used in the following description will be explained.

[0019] In the following embodiments, a numbered processor (hereinafter simply referred to as "processor") may be a single arithmetic unit or a combination of multiple arithmetic units. Also, the processor may be a single type of arithmetic unit or a combination of multiple types of arithmetic units. Examples of arithmetic units include a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), a GPGPU (General-Purpose computing on Graphics Processing Units), an APU (Accelerated Processing Unit), and the like.

[0020] In the following embodiments, a numbered RAM (Random Access Memory) is a memory in which information is temporarily stored and is used as a work memory by the processor.

[0021] In the following embodiments, a numbered storage is one or more non-volatile storage devices that store various programs and various parameters, etc. Examples of non-volatile storage devices include flash memory (SSD (Solid State Drive)), magnetic disks (e.g., hard disks), or magnetic tapes, etc.

[0022] In the following embodiments, the signed communication interface (I / F) is an interface that includes a communication processor and an antenna, etc. The communication interface manages communication between multiple computers. Examples of communication standards applicable to the communication interface include wireless communication standards such as 5G (5th Generation Mobile Communication System), Wi-Fi (registered trademark), or Bluetooth (registered trademark).

[0023] In the following embodiments, "A and / or B" is synonymous with "at least one of A and B." That is, "A and / or B" means that it may be A alone, or B alone, or a combination of A and B. Furthermore, in this specification, the same concept as "A and / or B" applies when expressing three or more things linked by "and / or."

[0024] [First Embodiment]

[0025] Figure 1 shows an example of the configuration of the data processing system 10 according to the first embodiment.

[0026] As shown in Figure 1, the data processing system 10 includes a data processing device 12 and a smart device 14. An example of the data processing device 12 is a server.

[0027] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0028] The smart device 14 comprises a computer 36, a reception device 38, an output device 40, a camera 42, and a communication interface 44. The computer 36 comprises a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The reception device 38, output device 40, and camera 42 are also connected to the bus 52.

[0029] The reception device 38 is equipped with a touch panel 38A and a microphone 38B, etc., and receives user input. The touch panel 38A receives user input by detecting contact with an object (e.g., a pen or finger). The microphone 38B receives user input by detecting the user's voice. The control unit 46A transmits data indicating the user input received by the touch panel 38A and microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the data indicating the user input.

[0030] The output device 40 includes a display 40A and a speaker 40B, and presents data to the user 20 by outputting the data in a form perceptible to the user 20 (e.g., audio and / or text). The display 40A displays visible information such as text and images according to instructions from the processor 46. The speaker 40B outputs audio according to instructions from the processor 46. The camera 42 is a small digital camera equipped with an optical system such as a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor.

[0031] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various types of information between processor 46 and processor 28 via network 54.

[0032] Figure 2 shows an example of the main functions of the data processing device 12 and the smart device 14.

[0033] As shown in Figure 2, in the data processing device 12, a specific processing is performed by the processor 28. A specific processing program 56 is stored in the storage 32. The specific processing program 56 is an example of a "program" related to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 according to the specific processing program 56 executed on the RAM 30.

[0034] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0035] In the smart device 14, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The reception output program 60 is used in conjunction with a specific processing program 56 by the data processing system 10. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0036] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0037] This invention provides a system that uses generative AI technology to offer users diverse and customized virtual experiences.

[0038] System Configuration

[0039] 1. Server

[0040] The server acts as a central processing unit, hosting generative AI technology and generating virtual space objects and environments based on user input.

[0041] The server sends the generated content to the user's device and communicates with a database that enables the delivery of a real-time experience.

[0042] 2. Terminal

[0043] The terminal provides a user interface and functions as a dedicated device for users to browse and interact with the virtual space.

[0044] The terminal's role is to render the virtual space based on data received from the server and to send user input to the server.

[0045] 3. User

[0046] Users can use their devices to select and explore a variety of virtual experiences.

[0047] Users provide feedback through the interface, and the server collects this information to improve the quality of the next experience.

[0048] Operation details

[0049] Virtual space generation using AI

[0050] The server uses AI algorithms to generate virtual spaces tailored to user selections and needs predicted from past feedback.

[0051] This generation process is automated, eliminating the need for traditional manual design work.

[0052] User customization and interaction

[0053] Users can choose an experience from the options provided and personalize that experience through their device.

[0054] User actions are sent to the server in real time and reflected immediately.

[0055] Optimization using a feedback loop

[0056] After the experience ends, users can provide ratings and feedback on their devices.

[0057] The server analyzes this feedback and adjusts the generated AI to optimize future experiences.

[0058] Specific example

[0059] If a user wants to experience a fantasy world inhabited by dragons, they can submit a request from their device. The server uses a generation AI to generate a dragon valley and its surrounding environment in real time, and sends this information to the device. The user can freely explore this space and experience interactions with dragons. After the experience, the user provides feedback on the dragons' behavior and the design of the environment, which the server uses to improve future generation.

[0060] This system allows users to have a more personalized virtual experience, and its accuracy and satisfaction improve over time.

[0061] The following describes the processing flow.

[0062] Step 1:

[0063] The user launches the application on their device and enters their authentication information on the login screen. When the user attempts to log in, the device sends this information to the server and requests authentication.

[0064] Step 2:

[0065] The server queries the database to verify authentication information. If authentication is successful, the server generates a user-specific session ID and returns this information to the terminal. The terminal stores this session ID and starts a session.

[0066] Step 3:

[0067] The user browses a list of virtual experiences from the device's interface and selects the desired experience. Once a selection is made, the device sends this selection information to the server.

[0068] Step 4:

[0069] The server activates a generative AI based on the selected experience to generate the necessary virtual space. The generative AI automatically generates spaces and objects, taking into account the user's profile and past feedback data.

[0070] Step 5:

[0071] The server sends the generated virtual space data to the terminal. The terminal receives this data, performs 3D rendering in real time based on it, and presents the virtual space to the user.

[0072] Step 6:

[0073] Users interact with the virtual space via their devices and proceed with their exploration. User actions encompass a wide range of activities, including movement, object manipulation, and communication, and this information is immediately fed back to the server.

[0074] Step 7:

[0075] After the experience ends, users open a feedback form on their device and enter their evaluation and opinions about the experience. The device then sends this feedback to the server in digital format.

[0076] Step 8:

[0077] The server analyzes the received feedback and behavioral data and adjusts the generation AI algorithm. This allows the system to learn so that future experiences are better tailored to user needs.

[0078] (Example 1)

[0079] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0080] In modern virtual reality environments, it is difficult to quickly and appropriately deliver the personalized experiences that users desire. Furthermore, conventional technologies are insufficient to accurately analyze user evaluations and past behavioral information and reflect them in subsequent experiences. Moreover, there is a need to maintain real-time responsiveness during virtual environment experiences while modifying the environment to meet changing user needs.

[0081] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0082] In this invention, the server includes means for automatically constructing objects and situations within a virtual environment using a generation algorithm, means for personalizing the experience within the virtual environment based on user input, and means for collecting user feedback and improving the virtual environment using the generation algorithm. This makes it possible to provide users with a more personalized and real-time adaptable virtual experience.

[0083] A "generative algorithm" is a series of computational procedures for automatically constructing objects and situations within a virtual environment based on input information.

[0084] A "virtual environment" is a digital space created using computer technology that is similar to or completely different from the real world.

[0085] "Objects" refer to structures or characters with three-dimensional shapes that exist within a virtual environment.

[0086] "Situation" refers to the overall environmental settings within the virtual environment, including terrain, weather, time of day, and so on.

[0087] "User" refers to a person who experiences and operates the virtual environment through the system.

[0088] "Input" refers to the selections, commands, or feedback that the user provides to the system.

[0089] "Personalization" means optimizing the content of the experience according to the needs and preferences of each user.

[0090] "Evaluation" refers to the impressions and opinions that users provide after experiencing something.

[0091] "Collection" refers to the process by which a system takes in data from users.

[0092] "Improvement" means enhancing the quality of systems and experiences based on collected data.

[0093] This invention aims to provide users with personalized experiences through a virtual space provisioning system equipped with a generation algorithm. This system consists of three main components: a server, a terminal, and a user.

[0094] server

[0095] The server hosts the generative AI model and plays a central role in it. This server receives user input and uses generative algorithms to create a virtual environment in which objects and situations are constructed in real time. Specifically, it analyzes the input prompt sentences and past evaluation information to design an optimized virtual space. For example, if a prompt sentence such as "I want to meet and talk to a dragon in a fantasy world" is entered, the server will generate a valley and forest where dragons exist and send that information to the terminal.

[0096] terminal

[0097] The terminal provides an interface for the user to interact with the virtual environment. Based on data sent from the server, the terminal performs high-quality rendering, allowing the user to experience the virtual space. The user's actions and inputs are transmitted to the server in real time via the terminal, and the server uses this input information to modify the rendering and optimize the environment.

[0098] User

[0099] Through this system, users can select and enjoy a variety of virtual experiences. After an experience, users input their ratings and feedback into their device, and this information is collected on the server. This feedback is used to improve the quality of future experiences, and the server adjusts the generation algorithm accordingly.

[0100] As described above, this invention is a mechanism that utilizes a generation algorithm to provide users with diverse and personalized virtual spaces. Each experience is uniquely generated based on user prompts, making it possible to continuously increase user satisfaction.

[0101] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0102] Step 1:

[0103] The user enters a request for a virtual experience through their device. This input is provided to the device as a specific prompt. For example, the user might enter the prompt, "I want to talk to a dragon in a fantasy world." The input information is then sent from the device to the server.

[0104] Step 2:

[0105] The server analyzes the prompt message received from the terminal. Using a generative AI model, it understands the structure and elements of the virtual environment the user desires based on the content of the prompt message. Here, the server also considers the user's past evaluation information and performs data processing to design the optimal experience. As a result, the parameters necessary for generating the virtual environment are output.

[0106] Step 3:

[0107] The server uses a generative AI model to generate a virtual space based on the analyzed parameters. It constructs objects and the environment in real time, such as the valley where the dragons live and the surrounding conditions. The data obtained through this generation process is output as placement information within the virtual environment. This output is then sent to the terminal.

[0108] Step 4:

[0109] The terminal performs high-quality rendering based on virtual environment data received from the server. The user manipulates the rendered virtual space and performs interactions. For example, conversations with dragons and exploration unfold within the virtual space in response to user input. During this time, user operation information is transmitted from the terminal to the server in real time.

[0110] Step 5:

[0111] After the experience ends, users provide feedback on their device. They enter detailed evaluations regarding the dragon's behavior, the quality of the environment, and other aspects. The device sends this feedback data to the server. This feedback is important data for improving the next experience.

[0112] Step 6:

[0113] The server analyzes the collected feedback and uses it to refine the generated AI model. This analysis provides data that improves the quality of the virtual environment provided next time. This makes it possible to continuously increase the satisfaction of the user experience.

[0114] (Application Example 1)

[0115] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart device 14 will be referred to as the "terminal."

[0116] In modern content delivery services, providing personalized experiences to users is challenging. In particular, there is a lack of means to create dynamically changing scenarios based on user choices and preferences in real-time generated virtual environments. Therefore, developing systems that can enhance immersion while increasing user satisfaction is a key challenge.

[0117] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0118] In this invention, the server includes means for automatically generating information and scenes in a virtual space using generative AI technology, means for customizing the experience in the virtual space based on user input, means for collecting user feedback and improving the virtual space using generative AI technology, means for transmitting a real-time generated depiction of the virtual space through a user interface, and means for dynamically changing the story or scenario based on user operation. This makes it possible to provide customized stories and experiences that meet the individual preferences of the user and enable real-time interactive participation.

[0119] "Generative AI technology" is a technology that uses artificial intelligence algorithms to automatically generate new digital content and environments based on user input and data.

[0120] A "virtual space" is a virtual three-dimensional space created by computer technology, an environment in which users can experience and manipulate things through interaction.

[0121] "User input" refers to the selections and operational information that users provide to the system, and is data used to create and customize virtual spaces.

[0122] "Feedback" refers to information such as evaluations, opinions, and comments that users provide after experiencing something. The system analyzes this feedback to help improve and optimize the content.

[0123] "Real-time generation" refers to a processing method in which content is instantly generated and updated in response to user actions and selections, and provided to the user without delay.

[0124] A "user interface" refers to the points of contact or operating screens that allow a user to interact with a system, and is a means of inputting information or viewing information.

[0125] "Dynamic changes in the story and scenario" refers to a feature where the story and events change and unfold in real time based on the user's choices and actions, enabling a personalized experience.

[0126] To implement this invention, the server, the user's terminal, and the user each play specific roles. The roles and processes of each are described below.

[0127] Server role and processing:

[0128] The server operates the generative AI technology, which is the central element of this invention. Specifically, the server uses a processing system equipped with a high-performance GPU and leverages machine learning frameworks such as TENSORFLOW® and PyTorch to generate elements of the virtual space based on user input data and feedback. The generated digital information dynamically changes based on user-specified preferences and past behavioral data, and is transmitted to the user in real time through the user interface.

[0129] Terminal role and processing:

[0130] The user's device will be hardware such as a smartphone or a VR device (e.g., MetaQuest). The device will render the virtual environment sent from the server and enable the user to interact with it. Specifically, it will display the virtual space in real time on the device's screen, detect user actions, and send that data back to the server. In addition, the device will send the feedback received from the user to the server, which will be used to improve the experience in the future.

[0131] User roles:

[0132] Users customize and explore their virtual experiences through the interface. When a user selects a genre or specific scenario of interest, the request is sent to the server, and a virtual environment is generated. Users can freely explore this space and progress through the story or scenario. Furthermore, they can provide ratings and feedback after their experience, contributing to future system improvements.

[0133] Specific example:

[0134] For example, if a user selects a scenario where they adventure as a medieval European knight, the server generates a virtual space related to that scenario and sends it to the user's device. In that virtual space, the user can experience various quests set in castles and markets and enjoy their adventure as a knight. The system is continuously optimized to provide new discoveries and experiences through the on-device experience.

[0135] Example of a prompt:

[0136] "Please generate a scenario where the player adventures as a knight in medieval Europe. The setting should include a large castle, a surrounding town, and a thriving civil society, and the story should branch depending on the user's choices at each stage."

[0137] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0138] Step 1:

[0139] The server receives requests and prompts sent from the user via the terminal. It receives input from the user, such as "a scenario where you adventure as a knight in medieval Europe," and analyzes that data. Based on this analysis, it prepares to set appropriate parameters for the generative AI model.

[0140] Step 2:

[0141] The generative AI model generates a virtual space based on user input prompts. Specifically, it uses information obtained from prompts sent to the AI ​​model to calculate the terrain, environment, and character characteristics of the stage, and outputs this as digital data. This output data includes detailed environmental design and character placement.

[0142] Step 3:

[0143] The server compresses the generated digital data and prepares it for transmission to the user's terminal. To send it to the terminal, the data is optimized and packetized, ensuring smooth data transfer over the network.

[0144] Step 4:

[0145] The terminal receives digital data transmitted from the server and begins decompression and rendering. Specifically, it decodes the received virtual space information and displays it as an image on the screen in real time. The user interface is updated based on this information, providing the user with an interactive environment.

[0146] Step 5:

[0147] The user initiates interaction within the virtual space through a device. The user's actions, such as movement or selection, are processed by the device as new input data. This data is used to track the user's behavior and trigger its reflection in the environment in the next step.

[0148] Step 6:

[0149] The terminal sends user operation data to the server and requests real-time environmental changes from the server. It calculates environmental changes and story progression based on new inputs and prepares data for the server to make necessary updates.

[0150] Step 7:

[0151] The server re-runs the AI ​​model based on the latest operational data received, generating new virtual events and scenario changes. This result is then generated again as digital data and sent to the terminal.

[0152] Step 8:

[0153] The device receives the updated digital data and renders it again. This ensures that changes to the virtual environment in response to user actions are displayed correctly on the device.

[0154] Step 9:

[0155] Users enter feedback from their device at the end of the experience. This feedback is sent to a server to help refine future AI models and improve the quality of the experience. This feedback process forms the basis for future use.

[0156] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0157] This invention realizes a system that provides a user-optimized virtual experience using generative AI technology and an emotion engine. The system aims to dynamically adjust the virtual space based on the user's behavioral and emotional data, creating an experience that matches the user's needs and emotional state.

[0158] System Configuration

[0159] 1. Server

[0160] The server hosts generative AI technology and an emotion engine, and is responsible for processing data received from users and generating and adjusting virtual spaces.

[0161] The server manages a database that utilizes user feedback to continuously improve AI models and sentiment analysis algorithms.

[0162] 2. Terminal

[0163] The device detects emotional and behavioral data from the user and sends it to the server. Emotional data is collected in real time using cameras and sensors.

[0164] The terminal functions as a display device that presents a virtual space to the user based on generated data received from the server.

[0165] 3. User

[0166] Users can interact with the virtual space through their devices and advance their experience. The user's emotional state is immediately reflected in the experience.

[0167] Users can use the terminal interface to provide feedback after their experience, which contributes to the system's further learning.

[0168] Operation details

[0169] Generation of virtual space

[0170] The server uses an emotion engine and generative AI to work together to generate a virtual space based on the user's emotional state and choices.

[0171] This automated generation process ensures that the user experience is customized to each individual user.

[0172] Collection and reflection of emotional data

[0173] Sensors and cameras built into the device collect emotional data through the user's facial expressions and biometric information. This data is transmitted to a server in real time.

[0174] The server analyzes emotional data and uses an AI model to determine what adjustments are needed within the space.

[0175] Feedback and Learning Process

[0176] Users can provide feedback via their devices after the experience ends. This includes information such as which parts of the experience had an emotional impact on them.

[0177] The server analyzes this feedback and uses it to optimize the emotion engine and generative AI algorithms.

[0178] Specific example

[0179] Users can choose a virtual experience in a forest designed for relaxation. The device's camera detects signs of stress from the user's facial expressions and transmits this information to the server. The server uses an emotion engine to add stress-reducing elements (such as the sound of a gentle breeze or a sunset view) to the virtual space. After the experience ends, the user provides feedback on how the experience affected their emotions, which helps the system to further improve.

[0180] This system allows users to receive personalized virtual experiences that respond to their emotions at any given moment, thereby improving overall satisfaction and engagement.

[0181] The following describes the processing flow.

[0182] Step 1:

[0183] The user launches the application on their device and enters their login information. The device sends the provided authentication information to the server and starts the authentication process.

[0184] Step 2:

[0185] The server checks the database to verify the authentication information. If authentication is successful, the server generates a user-specific session ID and sends it to the terminal.

[0186] Step 3:

[0187] The user selects the virtual environment they want to experience from the terminal's interface. The selection is then sent from the terminal to the server.

[0188] Step 4:

[0189] Based on the received selection information, the server activates a generation AI to create objects and environments in the virtual space. Simultaneously, it activates an emotion engine to prepare for monitoring the user's emotional data.

[0190] Step 5:

[0191] The terminal receives the data necessary to display the virtual space from the server, renders that information in real time, and presents it to the user.

[0192] Step 6:

[0193] The user explores the virtual space and progresses through the experience. During this time, the device uses built-in sensors to detect the user's emotional data (facial expressions and biometric information) and transmits it to the server in real time.

[0194] Step 7:

[0195] The server uses an emotion engine to analyze the user's emotional data and dynamically adjusts the virtual environment and objects based on the results. This ensures that the experience corresponds to the user's emotional state.

[0196] Step 8:

[0197] After the experience ends, users submit feedback about the experience using their device's interface. This feedback is stored on the server and used to improve the AI ​​and emotion engine.

[0198] Step 9:

[0199] The server analyzes feedback and sentiment data to adjust and optimize the algorithms of the generative AI and sentiment engine. As a result, the system can provide more accurate and personalized services in subsequent experiences.

[0200] (Example 2)

[0201] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart device 14 as the "terminal".

[0202] Traditional virtual environments have struggled to provide personalized experiences that adequately reflect the user's emotional state, resulting in lower user satisfaction. Furthermore, they have a drawback: they cannot reflect real-time emotional changes, leading to a decline in the quality of the user experience.

[0203] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0204] In this invention, the server includes means for detecting and collecting user emotional and behavioral information, means for automatically generating and adjusting a virtual environment based on the user's emotional state using generative AI technology and emotion analysis functions, and means for analyzing the emotional information obtained from the user and making necessary adjustments within the virtual space. This makes it possible to provide a specialized virtual experience tailored to the individual emotional state of the user.

[0205] "User emotional information" refers to data that indicates the user's emotional state, including facial expressions, tone of voice, and heart rate.

[0206] "Behavioral information" refers to data about the actions and choices a user makes in the virtual space, including movement patterns and interaction history.

[0207] "Generative AI technology" is a technology that uses artificial intelligence to automatically generate virtual environments and content.

[0208] "Emotion analysis function" is a technology that analyzes a user's emotional information and identifies their emotional state.

[0209] A "virtual environment" is a simulated space created on a computer that users can experience.

[0210] "Feedback" refers to the reactions and opinions that users provide through their experience, and is information used to improve the system.

[0211] This invention relates to a system that provides users with personalized virtual experiences. This system consists of the following components:

[0212] 1. Server

[0213] The server hosts generative AI models and sentiment analysis capabilities. It receives user sentiment and behavioral information transmitted from terminals and uses this information to perform calculations for generating and adjusting the virtual environment. Specifically, the hardware consists of a computer with a high-performance processor and large memory capacity, while the software includes machine learning libraries and a database management system.

[0214] 2. Terminal

[0215] The device collects emotional and behavioral information from the user in real time. Specifically, it uses devices such as cameras, microphones, and sensors to detect biometric information such as the user's facial expressions, voice tone, and heart rate. This information is immediately transmitted to the server. The device also has the function of displaying a virtual environment for the user based on generated data sent from the server.

[0216] 3. User

[0217] Users interact with the virtual environment using a terminal. Users can provide feedback based on their experience, which allows the system to be further optimized.

[0218] As a concrete example, if a user desires a calm virtual environment to reduce stress, the device's camera detects signs of stress from the user's facial expressions. Based on this information, the server uses generative AI to generate a calm lakeside landscape in the virtual space and presents it to the user via the device. An example of a prompt message used in this case would be, "Generate a calm water landscape to reduce the user's stress."

[0219] This makes it possible to create a system where users can receive experiences tailored to their individual emotional states, thereby improving their satisfaction and immersion.

[0220] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0221] Step 1:

[0222] The device uses cameras and sensors to collect user emotional and behavioral information. Specifically, the device detects the user's facial expressions, voice tone, heart rate, etc., and acquires this data in digital format. The input is the user's biometric information, and the output is the collected raw emotional data. This data is prepared for use in subsequent processes.

[0223] Step 2:

[0224] The terminal sends collected emotional and behavioral information to the server. Data transmission occurs in real time, and the transmitted data includes a session ID to identify the user. The input is the collected user data, and the output is the packet data sent to the server. This transmission prepares the server to analyze the data for each user.

[0225] Step 3:

[0226] The server analyzes the received data to identify the user's current emotional state. Specifically, it uses machine learning algorithms to process the data and quantify stress levels, happiness levels, and other factors. The input is emotional data sent from the terminal, and the output is the analysis result of the user's emotional state. This analysis result forms the basis for the next spatial generation.

[0227] Step 4:

[0228] The server uses a generative AI model to create prompt messages based on the analyzed emotional state. These prompt messages are in the format of "Generate a calm waterside landscape to help the user relax." The input is the result of the emotional state analysis, and the output is the prompt message for the generative AI. This prompt message enables the AI ​​to accurately generate virtual spaces.

[0229] Step 5:

[0230] The server inputs prompts into the generative AI model, which then generates a virtual space. The generative AI model combines specified elements to create a comfortable and personalized virtual environment. The input is the prompt, and the output is the data of the generated virtual space. This data is then ready to be sent to the terminal.

[0231] Step 6:

[0232] The terminal presents a virtual space to the user based on generated data transmitted from the server. The user can experience the generated space using the terminal's display and sound system. The input is virtual space data from the generating AI, and the output is the virtual environment that the user visually perceives. This experience is provided to the user.

[0233] Step 7:

[0234] The user interacts with the virtual space described above to advance the experience. Through the interface, the user can move within the virtual space and interact with objects placed within it. The input is the presented virtual environment, and the output is the user's behavioral data. The user's experience contributes to the following feedback process.

[0235] Step 8:

[0236] Users provide feedback after completing an experience. This feedback includes emotional impact and suggestions for improving the experience. The input is the user's entire experience, and the output is the feedback information. The server utilizes this feedback as a hint for improvement in the next update. This process improves the overall accuracy of the system.

[0237] (Application Example 2)

[0238] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as a "server" and the smart device 14 as a "terminal".

[0239] Conventional virtual experience systems only customize the environment based on user input, making it difficult to provide an experience that takes into account the user's emotional state. Furthermore, there was a need for a system that could automatically provide product recommendations and environmental adjustments tailored to the user's emotions.

[0240] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0241] In this invention, the server includes means for automatically generating objects and environments in a virtual space using generative AI technology, means for dynamically adjusting the experience in the virtual space based on the user's emotional information, means for collecting evaluation information from the user and improving the virtual space using generative AI technology, and means for analyzing the user's emotional information and changing product recommendations and the environment to match the user's emotional state. This makes it possible to provide an optimal virtual experience that corresponds to the user's emotional state.

[0242] "Generative AI technology" refers to artificial intelligence technology that automatically generates content and environments in a digital setting.

[0243] A "virtual space" is a computer-generated, three-dimensional virtual environment that allows users to experience it as if they were actually present in that space.

[0244] "Means for automatically generating objects and environments" refers to technologies that use generative AI technology to create objects and scenes in a virtual world without user intervention.

[0245] "Emotional information" refers to data that indicates the user's emotional state, including real-time information based on facial expressions and physiological indicators.

[0246] "Dynamic adjustment methods" refer to technical techniques that automatically modify the environment and user experience in real time based on constantly changing information.

[0247] "Means for collecting evaluation information" refers to methods for gathering feedback provided by users after their experience and using that feedback to improve the system.

[0248] "Product recommendation" is a technology that presents appropriate products and services based on the user's preferences and emotional state.

[0249] In this invention's system, smart glasses are used as the device worn by the user. The server integrates a generative AI model and an emotion engine, and is responsible for dynamically generating and adjusting the virtual space based on the user's emotional state. The user's emotional information is collected in real time through cameras and sensors installed in the smart glasses and sent to the server for processing. The server analyzes this data and generates content optimized for the user.

[0250] Smart glasses overlay virtual content generated within the user's field of vision, enabling them to experience virtual shopping. The server also recommends products based on the user's preferences and emotional state, providing a personalized experience for each individual user. For example, if a user's emotional state indicates stress, the server uses an AI model to generate recommendations for relaxing products, which are then displayed on the screen through the glasses.

[0251] A concrete example of this system is when a user visits a virtual cafe, and it recommends beverages that have a stress-relieving effect, along with peaceful and relaxing music. An example of a prompt that the system inputs to the AI ​​model is, "If the user's emotional state is stressed, generate recommendations for relaxing products along with calming music." This prompt enables a virtual experience that takes the user's emotions into consideration.

[0252] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0253] Step 1:

[0254] The device uses the smart glasses' camera and sensors to collect emotional information in real time from the user's facial expressions and physiological indicators. This emotional information becomes input data and is sent to the server. The specific data collection and transmission operations performed by the device involve capturing facial expressions with the built-in camera and measuring skin potential and heart rate with sensors, aggregating this data, and sending it to the server.

[0255] Step 2:

[0256] The server uses an emotion engine to analyze the user's current emotional state based on the emotional information transmitted from the terminal. This analysis classifies the user's emotions into states such as relaxation, stress, and joy. The input is the received emotional information, and the output is the analysis result from the emotion engine. Specifically, the operation involves inputting the emotional data into a neural network model and performing a process to predict the emotional state.

[0257] Step 3:

[0258] The server uses prompts to generate virtual content that corresponds to the user's emotional state in the generating AI model. For example, the prompt "If the user's emotional state is stressed, generate recommendations for relaxing products along with calming music" is input to the generating AI model. The input consists of the prompt and the emotional state, and the generated virtual content is output. Specifically, the generating AI uses these inputs to automatically generate text and visual content.

[0259] Step 4:

[0260] The server sends the generated virtual content to the terminal, which then overlays it onto the user's field of view. This allows the user to experience a customized virtual environment through smart glasses. The input is the generated and sent content, and the output is the visual information presented to the user. Specifically, the display device projects 3D graphics and associated text onto the user's field of view.

[0261] Step 5:

[0262] Users provide feedback after their experience, and the device collects this feedback and sends it to the server. The server uses this information to continuously improve the generative AI model and emotion engine. The input is user feedback, and the output is the result of model adjustments. Specifically, the system displays a feedback form to the user, saves the collected feedback to a database, and uses it to retrain the AI ​​model.

[0263] The specific processing unit 290 transmits the result of the specific processing to the smart device 14. In the smart device 14, the control unit 46A causes the output device 40 to output the result of the specific processing. The microphone 38B acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 38B to the data processing device 12. In the data processing device 12, the specific processing unit 290 acquires the audio data.

[0264] Data generation model 58 is a so-called generative AI (Artificial Intelligence). An example of data generation model 58 is ChatGPT (registered trademark) (Internet search).<URL: https: / / openai.com / blog / chatgpt> ), Gemini (registered trademark) (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0265] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart device 14.

[0266] [Second Embodiment]

[0267] Figure 3 shows an example of the configuration of the data processing system 210 according to the second embodiment.

[0268] As shown in Figure 3, the data processing system 210 includes a data processing device 12 and smart glasses 214. An example of the data processing device 12 is a server.

[0269] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0270] The smart glasses 214 include a computer 36, a microphone 238, a speaker 240, a camera 42, and a communication interface 44. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, and camera 42 are also connected to the bus 52.

[0271] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0272] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0273] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0274] Figure 4 shows an example of the main functions of the data processing device 12 and the smart glasses 214. As shown in Figure 4, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0275] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0276] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0277] In the smart glasses 214, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0278] Next, the identification processing performed by the identification processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0279] This invention provides a system that uses generative AI technology to offer users diverse and customized virtual experiences.

[0280] System Configuration

[0281] 1. Server

[0282] The server acts as a central processing unit, hosting generative AI technology and generating virtual space objects and environments based on user input.

[0283] The server transmits the generated content to the user's terminal and communicates with a database that enables real-time experience provision.

[0284] 2. Terminal

[0285] The terminal provides a user interface and functions as a dedicated device for the user to view and operate in the virtual space.

[0286] The terminal has the role of drawing the virtual space based on the data received from the server and transmitting user input to the server.

[0287] 3. User

[0288] The user can select and explore various virtual experiences using the terminal.

[0289] The user provides feedback through the interface, and the server collects this information to improve the quality of the next experience.

[0290] Details of the operation

[0291] Virtual space generation by generative AI

[0292] The server generates a virtual space using an AI algorithm according to the needs predicted from the user's selections and past feedback.

[0293] This generation is automated and eliminates the need for conventional manual design.

[0294] User customization and interaction

[0295] The user can select an experience from the provided options and personalize that experience through the terminal.

[0296] The user's operations are transmitted to the server in real time and are immediately reflected.

[0297] Optimization using a feedback loop

[0298] After the experience ends, users can provide ratings and feedback on their devices.

[0299] The server analyzes this feedback and adjusts the generated AI to optimize future experiences.

[0300] Specific example

[0301] If a user wants to experience a fantasy world inhabited by dragons, they can submit a request from their device. The server uses a generation AI to generate a dragon valley and its surrounding environment in real time, and sends this information to the device. The user can freely explore this space and experience interactions with dragons. After the experience, the user provides feedback on the dragons' behavior and the design of the environment, which the server uses to improve future generation.

[0302] This system allows users to have a more personalized virtual experience, and its accuracy and satisfaction improve over time.

[0303] The following describes the processing flow.

[0304] Step 1:

[0305] The user launches the application on their device and enters their authentication information on the login screen. When the user attempts to log in, the device sends this information to the server and requests authentication.

[0306] Step 2:

[0307] The server queries the database to verify authentication information. If authentication is successful, the server generates a user-specific session ID and returns this information to the terminal. The terminal stores this session ID and starts a session.

[0308] Step 3:

[0309] The user browses the list of virtual experiences from the terminal interface and selects the desired experience. Once the selection is made, the terminal sends this selection information to the server.

[0310] Step 4:

[0311] The server activates the generation AI based on the selected experience and generates the necessary virtual space. The generation AI automatically generates spaces and objects taking into account the user's profile and past feedback data.

[0312] Step 5:

[0313] The server sends the data of the generated virtual space to the terminal. The terminal receives this data and performs real-time 3D rendering based on it, presenting the virtual space to the user.

[0314] Step 6:

[0315] The user operates the virtual space via the terminal and proceeds with the exploration. The user's actions cover a wide range, including movement, object manipulation, communication, etc., and this information is immediately fed back to the server.

[0316] Step 7:

[0317] After the experience, the user opens the feedback form on the terminal and enters the evaluation and opinions on the experience. The terminal sends this feedback to the server in digital form.

[0318] Step 8:

[0319] The server analyzes the received feedback and behavioral data and adjusts the generation AI algorithm. This allows the system to learn so that future experiences are better tailored to user needs.

[0320] (Example 1)

[0321] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0322] In modern virtual reality environments, it is difficult to quickly and appropriately deliver the personalized experiences that users desire. Furthermore, conventional technologies are insufficient to accurately analyze user evaluations and past behavioral information and reflect them in subsequent experiences. Moreover, there is a need to maintain real-time responsiveness during virtual environment experiences while modifying the environment to meet changing user needs.

[0323] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0324] In this invention, the server includes means for automatically constructing objects and situations within a virtual environment using a generation algorithm, means for personalizing the experience within the virtual environment based on user input, and means for collecting user feedback and improving the virtual environment using the generation algorithm. This makes it possible to provide users with a more personalized and real-time adaptable virtual experience.

[0325] A "generative algorithm" is a series of computational procedures for automatically constructing objects and situations within a virtual environment based on input information.

[0326] A "virtual environment" is a digital space created using computer technology that is similar to or completely different from the real world.

[0327] "Objects" refer to structures or characters with three-dimensional shapes that exist within a virtual environment.

[0328] "Situation" refers to the overall environmental settings within the virtual environment, including terrain, weather, time of day, and so on.

[0329] "User" refers to a person who experiences and operates the virtual environment through the system.

[0330] "Input" refers to the selections, commands, or feedback that the user provides to the system.

[0331] "Personalization" means optimizing the content of the experience according to the needs and preferences of each user.

[0332] "Evaluation" refers to the impressions and opinions that users provide after experiencing something.

[0333] "Collection" refers to the process by which a system takes in data from users.

[0334] "Improvement" means enhancing the quality of systems and experiences based on collected data.

[0335] This invention aims to provide users with personalized experiences through a virtual space provisioning system equipped with a generation algorithm. This system consists of three main components: a server, a terminal, and a user.

[0336] server

[0337] The server hosts the generative AI model and plays a central role in it. This server receives user input and uses generative algorithms to create a virtual environment in which objects and situations are constructed in real time. Specifically, it analyzes the input prompt sentences and past evaluation information to design an optimized virtual space. For example, if a prompt sentence such as "I want to meet and talk to a dragon in a fantasy world" is entered, the server will generate a valley and forest where dragons exist and send that information to the terminal.

[0338] terminal

[0339] The terminal provides an interface for the user to interact with the virtual environment. Based on data sent from the server, the terminal performs high-quality rendering, allowing the user to experience the virtual space. The user's actions and inputs are transmitted to the server in real time via the terminal, and the server uses this input information to modify the rendering and optimize the environment.

[0340] User

[0341] Through this system, users can select and enjoy a variety of virtual experiences. After an experience, users input their ratings and feedback into their device, and this information is collected on the server. This feedback is used to improve the quality of future experiences, and the server adjusts the generation algorithm accordingly.

[0342] As described above, this invention is a mechanism that utilizes a generation algorithm to provide users with diverse and personalized virtual spaces. Each experience is uniquely generated based on user prompts, making it possible to continuously increase user satisfaction.

[0343] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0344] Step 1:

[0345] The user enters a request for a virtual experience through their device. This input is provided to the device as a specific prompt. For example, the user might enter the prompt, "I want to talk to a dragon in a fantasy world." The input information is then sent from the device to the server.

[0346] Step 2:

[0347] The server analyzes the prompt message received from the terminal. Using a generative AI model, it understands the structure and elements of the virtual environment the user desires based on the content of the prompt message. Here, the server also considers the user's past evaluation information and performs data processing to design the optimal experience. As a result, the parameters necessary for generating the virtual environment are output.

[0348] Step 3:

[0349] The server uses a generative AI model to generate a virtual space based on the analyzed parameters. It constructs objects and the environment in real time, such as the valley where the dragons live and the surrounding conditions. The data obtained through this generation process is output as placement information within the virtual environment. This output is then sent to the terminal.

[0350] Step 4:

[0351] The terminal performs high-quality rendering based on virtual environment data received from the server. The user manipulates the rendered virtual space and performs interactions. For example, conversations with dragons and exploration unfold within the virtual space in response to user input. During this time, user operation information is transmitted from the terminal to the server in real time.

[0352] Step 5:

[0353] After the experience ends, users provide feedback on their device. They enter detailed evaluations regarding the dragon's behavior, the quality of the environment, and other aspects. The device sends this feedback data to the server. This feedback is important data for improving the next experience.

[0354] Step 6:

[0355] The server analyzes the collected feedback and uses it to refine the generated AI model. This analysis provides data that improves the quality of the virtual environment provided next time. This makes it possible to continuously increase the satisfaction of the user experience.

[0356] (Application Example 1)

[0357] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0358] In modern content delivery services, providing personalized experiences to users is challenging. In particular, there is a lack of means to create dynamically changing scenarios based on user choices and preferences in real-time generated virtual environments. Therefore, developing systems that can enhance immersion while increasing user satisfaction is a key challenge.

[0359] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0360] In this invention, the server includes means for automatically generating information and scenes in a virtual space using generative AI technology, means for customizing the experience in the virtual space based on user input, means for collecting user feedback and improving the virtual space using generative AI technology, means for transmitting a real-time generated depiction of the virtual space through a user interface, and means for dynamically changing the story or scenario based on user operation. This makes it possible to provide customized stories and experiences that meet the individual preferences of the user and enable real-time interactive participation.

[0361] "Generative AI technology" is a technology that uses artificial intelligence algorithms to automatically generate new digital content and environments based on user input and data.

[0362] A "virtual space" is a virtual three-dimensional space created by computer technology, an environment in which users can experience and manipulate things through interaction.

[0363] "User input" refers to the selections and operational information that users provide to the system, and is data used to create and customize virtual spaces.

[0364] "Feedback" refers to information such as evaluations, opinions, and comments that users provide after experiencing something, and the system analyzes this information to help improve and optimize the content.

[0365] "Real-time generation" refers to a processing method in which content is instantly generated and updated in response to user actions and selections, and provided to the user without delay.

[0366] A "user interface" refers to the points of contact or operating screens that allow a user to interact with a system, and is a means of inputting information or viewing information.

[0367] "Dynamic changes in the story and scenario" refers to a feature where the story and events change and unfold in real time based on the user's choices and actions, enabling a personalized experience.

[0368] To implement this invention, the server, the user's terminal, and the user each play specific roles. The roles and processes of each are described below.

[0369] Server role and processing:

[0370] The server operates the generative AI technology, which is the central element of this invention. Specifically, the server uses a processing system equipped with a high-performance GPU and leverages machine learning frameworks such as TensorFlow and PyTorch to generate elements of the virtual space based on user input data and feedback. The generated digital information dynamically changes based on user-specified preferences and past behavioral data, and is transmitted to the user in real time through the user interface.

[0371] Terminal role and processing:

[0372] The user's device will be hardware such as a smartphone or a VR device (e.g., MetaQuest). The device will render the virtual environment sent from the server and enable the user to interact with it. Specifically, it will display the virtual space in real time on the device's screen, detect user actions, and send that data back to the server. In addition, the device will send the feedback received from the user to the server, which will be used to improve the experience in the future.

[0373] User roles:

[0374] Users customize and explore their virtual experiences through the interface. When a user selects a genre or specific scenario of interest, the request is sent to the server, and a virtual environment is generated. Users can freely explore this space and progress through the story or scenario. Furthermore, they can provide ratings and feedback after their experience, contributing to future system improvements.

[0375] Specific example:

[0376] For example, if a user selects a scenario where they adventure as a medieval European knight, the server generates a virtual space related to that scenario and sends it to the user's device. In that virtual space, the user can experience various quests set in castles and markets and enjoy their adventure as a knight. The system is continuously optimized to provide new discoveries and experiences through the on-device experience.

[0377] Example of a prompt:

[0378] "Please generate a scenario where the player adventures as a knight in medieval Europe. The setting should include a large castle, a surrounding town, and a thriving civil society, and the story should branch depending on the user's choices at each stage."

[0379] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0380] Step 1:

[0381] The server receives requests and prompts sent from the user via the terminal. It receives input from the user, such as "a scenario where you adventure as a knight in medieval Europe," and analyzes that data. Based on this analysis, it prepares to set appropriate parameters for the generative AI model.

[0382] Step 2:

[0383] The generative AI model generates a virtual space based on user input prompts. Specifically, it uses information obtained from prompts sent to the AI ​​model to calculate the terrain, environment, and character characteristics of the stage, and outputs this as digital data. This output data includes detailed environmental design and character placement.

[0384] Step 3:

[0385] The server compresses the generated digital data and prepares it for transmission to the user's terminal. To send it to the terminal, the data is optimized and packetized, ensuring smooth data transfer over the network.

[0386] Step 4:

[0387] The terminal receives digital data transmitted from the server and begins decompression and rendering. Specifically, it decodes the received virtual space information and displays it as an image on the screen in real time. The user interface is updated based on this information, providing the user with an interactive environment.

[0388] Step 5:

[0389] The user initiates interaction within the virtual space through a device. The user's actions, such as movement or selection, are processed by the device as new input data. This data is used to track the user's behavior and trigger its reflection in the environment in the next step.

[0390] Step 6:

[0391] The terminal sends user operation data to the server and requests real-time environmental changes from the server. It calculates environmental changes and story progression based on new inputs and prepares data for the server to make necessary updates.

[0392] Step 7:

[0393] The server re-runs the AI ​​model based on the latest operational data received, generating new virtual events and scenario changes. This result is then generated again as digital data and sent to the terminal.

[0394] Step 8:

[0395] The device receives the updated digital data and renders it again. This ensures that changes to the virtual environment in response to user actions are displayed correctly on the device.

[0396] Step 9:

[0397] Users enter feedback from their device at the end of the experience. This feedback is sent to a server to help refine future AI models and improve the quality of the experience. This feedback process forms the basis for future use.

[0398] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0399] This invention realizes a system that provides a user-optimized virtual experience using generative AI technology and an emotion engine. The system aims to dynamically adjust the virtual space based on the user's behavioral and emotional data, creating an experience that matches the user's needs and emotional state.

[0400] System Configuration

[0401] 1. Server

[0402] The server hosts generative AI technology and an emotion engine, and is responsible for processing data received from users and generating and adjusting virtual spaces.

[0403] The server manages a database that utilizes user feedback to continuously improve AI models and sentiment analysis algorithms.

[0404] 2. Terminal

[0405] The device detects emotional and behavioral data from the user and sends it to the server. Emotional data is collected in real time using cameras and sensors.

[0406] The terminal functions as a display device that presents a virtual space to the user based on generated data received from the server.

[0407] 3. User

[0408] Users can interact with the virtual space through their devices and advance their experience. The user's emotional state is immediately reflected in the experience.

[0409] Users can use the terminal interface to provide feedback after their experience, which contributes to the system's further learning.

[0410] Operation details

[0411] Generation of virtual space

[0412] The server uses an emotion engine and generative AI to work together to generate a virtual space based on the user's emotional state and choices.

[0413] This automated generation process ensures that the user experience is customized to each individual user.

[0414] Collection and reflection of emotional data

[0415] Sensors and cameras built into the device collect emotional data through the user's facial expressions and biometric information. This data is transmitted to a server in real time.

[0416] The server analyzes emotional data and uses an AI model to determine what adjustments are needed within the space.

[0417] Feedback and Learning Process

[0418] Users can provide feedback via their devices after the experience ends. This includes information such as which parts of the experience had an emotional impact on them.

[0419] The server analyzes this feedback and uses it to optimize the emotion engine and generative AI algorithms.

[0420] Specific example

[0421] Users can choose a virtual experience in a forest designed for relaxation. The device's camera detects signs of stress from the user's facial expressions and transmits this information to the server. The server uses an emotion engine to add stress-reducing elements (such as the sound of a gentle breeze or a sunset view) to the virtual space. After the experience ends, the user provides feedback on how the experience affected their emotions, which helps the system to further improve.

[0422] This system allows users to receive personalized virtual experiences that respond to their emotions at any given moment, thereby improving overall satisfaction and engagement.

[0423] The following describes the processing flow.

[0424] Step 1:

[0425] The user launches the application on their device and enters their login information. The device sends the provided authentication information to the server and starts the authentication process.

[0426] Step 2:

[0427] The server checks the database to verify the authentication information. If authentication is successful, the server generates a user-specific session ID and sends it to the terminal.

[0428] Step 3:

[0429] The user selects the virtual environment they want to experience from the terminal's interface. The selection is then sent from the terminal to the server.

[0430] Step 4:

[0431] Based on the received selection information, the server activates a generation AI to create objects and environments in the virtual space. Simultaneously, it activates an emotion engine to prepare for monitoring the user's emotional data.

[0432] Step 5:

[0433] The terminal receives the data necessary to display the virtual space from the server, renders that information in real time, and presents it to the user.

[0434] Step 6:

[0435] The user explores the virtual space and progresses through the experience. During this time, the device uses built-in sensors to detect the user's emotional data (facial expressions and biometric information) and transmits it to the server in real time.

[0436] Step 7:

[0437] The server uses an emotion engine to analyze the user's emotional data and dynamically adjusts the virtual environment and objects based on the results. This ensures that the experience corresponds to the user's emotional state.

[0438] Step 8:

[0439] After the experience ends, users submit feedback about the experience using their device's interface. This feedback is stored on the server and used to improve the AI ​​and emotion engine.

[0440] Step 9:

[0441] The server analyzes feedback and sentiment data to adjust and optimize the algorithms of the generative AI and sentiment engine. As a result, the system can provide more accurate and personalized services in subsequent experiences.

[0442] (Example 2)

[0443] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the smart glasses 214 will be referred to as the "terminal".

[0444] Traditional virtual environments have struggled to provide personalized experiences that adequately reflect the user's emotional state, resulting in lower user satisfaction. Furthermore, they have a drawback: they cannot reflect real-time emotional changes, leading to a decline in the quality of the user experience.

[0445] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0446] In this invention, the server includes means for detecting and collecting user emotional and behavioral information, means for automatically generating and adjusting a virtual environment based on the user's emotional state using generative AI technology and emotion analysis functions, and means for analyzing the emotional information obtained from the user and making necessary adjustments within the virtual space. This makes it possible to provide a specialized virtual experience tailored to the individual emotional state of the user.

[0447] "User emotional information" refers to data that indicates the user's emotional state, including facial expressions, tone of voice, and heart rate.

[0448] "Behavioral information" refers to data about the actions and choices a user makes in the virtual space, including movement patterns and interaction history.

[0449] "Generative AI technology" is a technology that uses artificial intelligence to automatically generate virtual environments and content.

[0450] "Emotion analysis function" is a technology that analyzes a user's emotional information and identifies their emotional state.

[0451] A "virtual environment" is a simulated space created on a computer that users can experience.

[0452] "Feedback" refers to the reactions and opinions that users provide through their experience, and is information used to improve the system.

[0453] This invention relates to a system that provides users with personalized virtual experiences. This system consists of the following components:

[0454] 1. Server

[0455] The server hosts generative AI models and sentiment analysis capabilities. It receives user sentiment and behavioral information transmitted from terminals and uses this information to perform calculations for generating and adjusting the virtual environment. Specifically, the hardware consists of a computer with a high-performance processor and large memory capacity, while the software includes machine learning libraries and a database management system.

[0456] 2. Terminal

[0457] The device collects emotional and behavioral information from the user in real time. Specifically, it uses devices such as cameras, microphones, and sensors to detect biometric information such as the user's facial expressions, voice tone, and heart rate. This information is immediately transmitted to the server. The device also has the function of displaying a virtual environment for the user based on generated data sent from the server.

[0458] 3. User

[0459] Users interact with the virtual environment using a terminal. Users can provide feedback based on their experience, which allows the system to be further optimized.

[0460] As a concrete example, if a user desires a calm virtual environment to reduce stress, the device's camera detects signs of stress from the user's facial expressions. Based on this information, the server uses generative AI to generate a calm lakeside landscape in the virtual space and presents it to the user via the device. An example of a prompt message used in this case would be, "Generate a calm water landscape to reduce the user's stress."

[0461] This makes it possible to create a system where users can receive experiences tailored to their individual emotional states, thereby improving their satisfaction and immersion.

[0462] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0463] Step 1:

[0464] The device uses cameras and sensors to collect user emotional and behavioral information. Specifically, the device detects the user's facial expressions, voice tone, heart rate, etc., and acquires this data in digital format. The input is the user's biometric information, and the output is the collected raw emotional data. This data is prepared for use in subsequent processes.

[0465] Step 2:

[0466] The terminal sends collected emotional and behavioral information to the server. Data transmission occurs in real time, and the transmitted data includes a session ID to identify the user. The input is the collected user data, and the output is the packet data sent to the server. This transmission prepares the server to analyze the data for each user.

[0467] Step 3:

[0468] The server analyzes the received data to identify the user's current emotional state. Specifically, it uses machine learning algorithms to process the data and quantify stress levels, happiness levels, and other factors. The input is emotional data sent from the terminal, and the output is the analysis result of the user's emotional state. This analysis result forms the basis for the next spatial generation.

[0469] Step 4:

[0470] The server uses a generative AI model to create prompt messages based on the analyzed emotional state. These prompt messages are in the format of "Generate a calm waterside landscape to help the user relax." The input is the result of the emotional state analysis, and the output is the prompt message for the generative AI. This prompt message enables the AI ​​to accurately generate virtual spaces.

[0471] Step 5:

[0472] The server inputs prompts into the generative AI model, which then generates a virtual space. The generative AI model combines specified elements to create a comfortable and personalized virtual environment. The input is the prompt, and the output is the data of the generated virtual space. This data is then ready to be sent to the terminal.

[0473] Step 6:

[0474] The terminal presents a virtual space to the user based on generated data transmitted from the server. The user can experience the generated space using the terminal's display and sound system. The input is virtual space data from the generating AI, and the output is the virtual environment that the user visually perceives. This experience is provided to the user.

[0475] Step 7:

[0476] The user interacts with the virtual space described above to advance the experience. Through the interface, the user can move within the virtual space and interact with objects placed within it. The input is the presented virtual environment, and the output is the user's behavioral data. The user's experience contributes to the following feedback process.

[0477] Step 8:

[0478] Users provide feedback after completing an experience. This feedback includes emotional impact and suggestions for improving the experience. The input is the user's entire experience, and the output is the feedback information. The server utilizes this feedback as a hint for improvement in the next update. This process improves the overall accuracy of the system.

[0479] (Application Example 2)

[0480] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the smart glasses 214 will be referred to as the "terminal."

[0481] Conventional virtual experience systems only customize the environment based on user input, making it difficult to provide an experience that takes into account the user's emotional state. Furthermore, there was a need for a system that could automatically provide product recommendations and environmental adjustments tailored to the user's emotions.

[0482] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0483] In this invention, the server includes means for automatically generating objects and environments in a virtual space using generative AI technology, means for dynamically adjusting the experience in the virtual space based on the user's emotional information, means for collecting evaluation information from the user and improving the virtual space using generative AI technology, and means for analyzing the user's emotional information and changing product recommendations and the environment to match the user's emotional state. This makes it possible to provide an optimal virtual experience that corresponds to the user's emotional state.

[0484] "Generative AI technology" refers to artificial intelligence technology that automatically generates content and environments in a digital setting.

[0485] A "virtual space" is a computer-generated, three-dimensional virtual environment that allows users to experience it as if they were actually present in that space.

[0486] "Means for automatically generating objects and environments" refers to technologies that use generative AI technology to create objects and scenes in a virtual world without user intervention.

[0487] "Emotional information" refers to data that indicates the user's emotional state, including real-time information based on facial expressions and physiological indicators.

[0488] "Dynamic adjustment methods" refer to technical techniques that automatically modify the environment and user experience in real time based on constantly changing information.

[0489] "Means for collecting evaluation information" refers to methods for gathering feedback provided by users after their experience and using that feedback to improve the system.

[0490] "Product recommendation" is a technology that presents appropriate products and services based on the user's preferences and emotional state.

[0491] In this invention's system, smart glasses are used as the device worn by the user. The server integrates a generative AI model and an emotion engine, and is responsible for dynamically generating and adjusting the virtual space based on the user's emotional state. The user's emotional information is collected in real time through cameras and sensors installed in the smart glasses and sent to the server for processing. The server analyzes this data and generates content optimized for the user.

[0492] Smart glasses overlay virtual content generated within the user's field of vision, enabling them to experience virtual shopping. The server also recommends products based on the user's preferences and emotional state, providing a personalized experience for each individual user. For example, if a user's emotional state indicates stress, the server uses an AI model to generate recommendations for relaxing products, which are then displayed on the screen through the glasses.

[0493] A concrete example of this system is when a user visits a virtual cafe, and it recommends beverages that have a stress-relieving effect, along with peaceful and relaxing music. An example of a prompt that the system inputs to the AI ​​model is, "If the user's emotional state is stressed, generate recommendations for relaxing products along with calming music." This prompt enables a virtual experience that takes the user's emotions into consideration.

[0494] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0495] Step 1:

[0496] The device uses the smart glasses' camera and sensors to collect emotional information in real time from the user's facial expressions and physiological indicators. This emotional information becomes input data and is sent to the server. The specific data collection and transmission operations performed by the device involve capturing facial expressions with the built-in camera and measuring skin potential and heart rate with sensors, aggregating this data, and sending it to the server.

[0497] Step 2:

[0498] The server uses an emotion engine to analyze the user's current emotional state based on the emotional information transmitted from the terminal. This analysis classifies the user's emotions into states such as relaxation, stress, and joy. The input is the received emotional information, and the output is the analysis result from the emotion engine. Specifically, the operation involves inputting the emotional data into a neural network model and performing a process to predict the emotional state.

[0499] Step 3:

[0500] The server uses prompts to generate virtual content that corresponds to the user's emotional state in the generating AI model. For example, the prompt "If the user's emotional state is stressed, generate recommendations for relaxing products along with calming music" is input to the generating AI model. The input consists of the prompt and the emotional state, and the generated virtual content is output. Specifically, the generating AI uses these inputs to automatically generate text and visual content.

[0501] Step 4:

[0502] The server sends the generated virtual content to the terminal, which then overlays it onto the user's field of view. This allows the user to experience a customized virtual environment through smart glasses. The input is the generated and sent content, and the output is the visual information presented to the user. Specifically, the display device projects 3D graphics and associated text onto the user's field of view.

[0503] Step 5:

[0504] Users provide feedback after their experience, and the device collects this feedback and sends it to the server. The server uses this information to continuously improve the generative AI model and emotion engine. The input is user feedback, and the output is the result of model adjustments. Specifically, the system displays a feedback form to the user, saves the collected feedback to a database, and uses it to retrain the AI ​​model.

[0505] The specific processing unit 290 transmits the result of the specific processing to the smart glasses 214. In the smart glasses 214, the control unit 46A causes the speaker 240 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0506] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0507] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the smart glasses 214.

[0508] [Third Embodiment]

[0509] Figure 5 shows an example of the configuration of the data processing system 310 according to the third embodiment.

[0510] As shown in Figure 5, the data processing system 310 includes a data processing device 12 and a headset terminal 314. An example of the data processing device 12 is a server.

[0511] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0512] The headset terminal 314 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a display 343. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and display 343 are also connected to the bus 52.

[0513] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0514] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0515] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0516] Figure 6 shows an example of the main functions of the data processing device 12 and the headset terminal 314. As shown in Figure 6, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0517] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0518] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0519] In the headset terminal 314, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0520] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the headset terminal 314 will be referred to as the "terminal".

[0521] This invention provides a system that uses generative AI technology to offer users diverse and customized virtual experiences.

[0522] System Configuration

[0523] 1. Server

[0524] The server acts as a central processing unit, hosting generative AI technology and generating virtual space objects and environments based on user input.

[0525] The server sends the generated content to the user's device and communicates with a database that enables the delivery of a real-time experience.

[0526] 2. Terminal

[0527] The terminal provides a user interface and functions as a dedicated device for users to browse and interact with the virtual space.

[0528] The terminal's role is to render the virtual space based on data received from the server and to send user input to the server.

[0529] 3. User

[0530] Users can use their devices to select and explore a variety of virtual experiences.

[0531] Users provide feedback through the interface, and the server collects this information to improve the quality of the next experience.

[0532] Operation details

[0533] Virtual space generation using AI

[0534] The server uses AI algorithms to generate virtual spaces tailored to user selections and needs predicted from past feedback.

[0535] This generation process is automated, eliminating the need for traditional manual design work.

[0536] User customization and interaction

[0537] Users can choose an experience from the options provided and personalize that experience through their device.

[0538] User actions are sent to the server in real time and reflected immediately.

[0539] Optimization using a feedback loop

[0540] After the experience ends, users can provide ratings and feedback on their devices.

[0541] The server analyzes this feedback and adjusts the generated AI to optimize future experiences.

[0542] Specific example

[0543] If a user wants to experience a fantasy world inhabited by dragons, they can submit a request from their device. The server uses a generation AI to generate a dragon valley and its surrounding environment in real time, and sends this information to the device. The user can freely explore this space and experience interactions with dragons. After the experience, the user provides feedback on the dragons' behavior and the design of the environment, which the server uses to improve future generation.

[0544] This system allows users to have a more personalized virtual experience, and its accuracy and satisfaction improve over time.

[0545] The following describes the processing flow.

[0546] Step 1:

[0547] The user launches the application on their device and enters their authentication information on the login screen. When the user attempts to log in, the device sends this information to the server and requests authentication.

[0548] Step 2:

[0549] The server queries the database to verify authentication information. If authentication is successful, the server generates a user-specific session ID and returns this information to the terminal. The terminal stores this session ID and starts a session.

[0550] Step 3:

[0551] The user browses a list of virtual experiences from the device's interface and selects the desired experience. Once a selection is made, the device sends this selection information to the server.

[0552] Step 4:

[0553] The server activates a generative AI based on the selected experience to generate the necessary virtual space. The generative AI automatically generates spaces and objects, taking into account the user's profile and past feedback data.

[0554] Step 5:

[0555] The server sends the generated virtual space data to the terminal. The terminal receives this data, performs 3D rendering in real time based on it, and presents the virtual space to the user.

[0556] Step 6:

[0557] Users interact with the virtual space via their devices and proceed with their exploration. User actions encompass a wide range of activities, including movement, object manipulation, and communication, and this information is immediately fed back to the server.

[0558] Step 7:

[0559] After the experience ends, users open a feedback form on their device and enter their evaluation and opinions about the experience. The device then sends this feedback to the server in digital format.

[0560] Step 8:

[0561] The server analyzes the received feedback and behavioral data and adjusts the generation AI algorithm. This allows the system to learn so that future experiences are better tailored to user needs.

[0562] (Example 1)

[0563] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0564] In modern virtual reality environments, it is difficult to quickly and appropriately deliver the personalized experiences that users desire. Furthermore, conventional technologies are insufficient to accurately analyze user evaluations and past behavioral information and reflect them in subsequent experiences. Moreover, there is a need to maintain real-time responsiveness during virtual environment experiences while modifying the environment to meet changing user needs.

[0565] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0566] In this invention, the server includes means for automatically constructing objects and situations within a virtual environment using a generation algorithm, means for personalizing the experience within the virtual environment based on user input, and means for collecting user feedback and improving the virtual environment using the generation algorithm. This makes it possible to provide users with a more personalized and real-time adaptable virtual experience.

[0567] A "generative algorithm" is a series of computational procedures for automatically constructing objects and situations within a virtual environment based on input information.

[0568] A "virtual environment" is a digital space created using computer technology that is similar to or completely different from the real world.

[0569] "Objects" refer to structures or characters with three-dimensional shapes that exist within a virtual environment.

[0570] "Situation" refers to the overall environmental settings within the virtual environment, including terrain, weather, time of day, and so on.

[0571] "User" refers to a person who experiences and operates the virtual environment through the system.

[0572] "Input" refers to the selections, commands, or feedback that the user provides to the system.

[0573] "Personalization" means optimizing the content of the experience according to the needs and preferences of each user.

[0574] "Evaluation" refers to the impressions and opinions that users provide after experiencing something.

[0575] "Collection" refers to the process by which a system takes in data from users.

[0576] "Improvement" means enhancing the quality of systems and experiences based on collected data.

[0577] This invention aims to provide users with personalized experiences through a virtual space provisioning system equipped with a generation algorithm. This system consists of three main components: a server, a terminal, and a user.

[0578] server

[0579] The server hosts the generative AI model and plays a central role in it. This server receives user input and uses generative algorithms to create a virtual environment in which objects and situations are constructed in real time. Specifically, it analyzes the input prompt sentences and past evaluation information to design an optimized virtual space. For example, if a prompt sentence such as "I want to meet and talk to a dragon in a fantasy world" is entered, the server will generate a valley and forest where dragons exist and send that information to the terminal.

[0580] terminal

[0581] The terminal provides an interface for the user to interact with the virtual environment. Based on data sent from the server, the terminal performs high-quality rendering, allowing the user to experience the virtual space. The user's actions and inputs are transmitted to the server in real time via the terminal, and the server uses this input information to modify the rendering and optimize the environment.

[0582] User

[0583] Through this system, users can select and enjoy a variety of virtual experiences. After an experience, users input their ratings and feedback into their device, and this information is collected on the server. This feedback is used to improve the quality of future experiences, and the server adjusts the generation algorithm accordingly.

[0584] As described above, this invention is a mechanism that utilizes a generation algorithm to provide users with diverse and personalized virtual spaces. Each experience is uniquely generated based on user prompts, making it possible to continuously increase user satisfaction.

[0585] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0586] Step 1:

[0587] The user enters a request for a virtual experience through their device. This input is provided to the device as a specific prompt. For example, the user might enter the prompt, "I want to talk to a dragon in a fantasy world." The input information is then sent from the device to the server.

[0588] Step 2:

[0589] The server analyzes the prompt message received from the terminal. Using a generative AI model, it understands the structure and elements of the virtual environment the user desires based on the content of the prompt message. Here, the server also considers the user's past evaluation information and performs data processing to design the optimal experience. As a result, the parameters necessary for generating the virtual environment are output.

[0590] Step 3:

[0591] The server uses a generative AI model to generate a virtual space based on the analyzed parameters. It constructs objects and the environment in real time, such as the valley where the dragons live and the surrounding conditions. The data obtained through this generation process is output as placement information within the virtual environment. This output is then sent to the terminal.

[0592] Step 4:

[0593] The terminal performs high-quality rendering based on virtual environment data received from the server. The user manipulates the rendered virtual space and performs interactions. For example, conversations with dragons and exploration unfold within the virtual space in response to user input. During this time, user operation information is transmitted from the terminal to the server in real time.

[0594] Step 5:

[0595] After the experience ends, users provide feedback on their device. They enter detailed evaluations regarding the dragon's behavior, the quality of the environment, and other aspects. The device sends this feedback data to the server. This feedback is important data for improving the next experience.

[0596] Step 6:

[0597] The server analyzes the collected feedback and uses it to refine the generated AI model. This analysis provides data that improves the quality of the virtual environment provided next time. This makes it possible to continuously increase the satisfaction of the user experience.

[0598] (Application Example 1)

[0599] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0600] In modern content delivery services, providing personalized experiences to users is challenging. In particular, there is a lack of means to create dynamically changing scenarios based on user choices and preferences in real-time generated virtual environments. Therefore, developing systems that can enhance immersion while increasing user satisfaction is a key challenge.

[0601] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0602] In this invention, the server includes means for automatically generating information and scenes in a virtual space using generative AI technology, means for customizing the experience in the virtual space based on user input, means for collecting user feedback and improving the virtual space using generative AI technology, means for transmitting a real-time generated depiction of the virtual space through a user interface, and means for dynamically changing the story or scenario based on user operation. This makes it possible to provide customized stories and experiences that meet the individual preferences of the user and enable real-time interactive participation.

[0603] "Generative AI technology" is a technology that uses artificial intelligence algorithms to automatically generate new digital content and environments based on user input and data.

[0604] A "virtual space" is a virtual three-dimensional space created by computer technology, an environment in which users can experience and manipulate things through interaction.

[0605] "User input" refers to the selections and operational information that users provide to the system, and is data used to create and customize virtual spaces.

[0606] "Feedback" refers to information such as evaluations, opinions, and comments that users provide after experiencing something. The system analyzes this feedback to help improve and optimize the content.

[0607] "Real-time generation" refers to a processing method in which content is instantly generated and updated in response to user actions and selections, and provided to the user without delay.

[0608] A "user interface" refers to the points of contact or operating screens that allow a user to interact with a system, and is a means of inputting information or viewing information.

[0609] "Dynamic changes in the story and scenario" refers to a feature where the story and events change and unfold in real time based on the user's choices and actions, enabling a personalized experience.

[0610] To implement this invention, the server, the user's terminal, and the user each play specific roles. The roles and processes of each are described below.

[0611] Server role and processing:

[0612] The server operates the generative AI technology, which is the central element of this invention. Specifically, the server uses a processing system equipped with a high-performance GPU and leverages machine learning frameworks such as TensorFlow and PyTorch to generate elements of the virtual space based on user input data and feedback. The generated digital information dynamically changes based on user-specified preferences and past behavioral data, and is transmitted to the user in real time through the user interface.

[0613] Terminal role and processing:

[0614] The user's device will be hardware such as a smartphone or a VR device (e.g., MetaQuest). The device will render the virtual environment sent from the server and enable the user to interact with it. Specifically, it will display the virtual space in real time on the device's screen, detect user actions, and send that data back to the server. In addition, the device will send the feedback received from the user to the server, which will be used to improve the experience in the future.

[0615] User roles:

[0616] Users customize and explore their virtual experiences through the interface. When a user selects a genre or specific scenario of interest, the request is sent to the server, and a virtual environment is generated. Users can freely explore this space and progress through the story or scenario. Furthermore, they can provide ratings and feedback after their experience, contributing to future system improvements.

[0617] Specific example:

[0618] For example, if a user selects a scenario where they adventure as a medieval European knight, the server generates a virtual space related to that scenario and sends it to the user's device. In that virtual space, the user can experience various quests set in castles and markets and enjoy their adventure as a knight. The system is continuously optimized to provide new discoveries and experiences through the on-device experience.

[0619] Example of a prompt:

[0620] "Please generate a scenario where the player adventures as a knight in medieval Europe. The setting should include a large castle, a surrounding town, and a thriving civil society, and the story should branch depending on the user's choices at each stage."

[0621] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0622] Step 1:

[0623] The server receives requests and prompts sent from the user via the terminal. It receives input from the user, such as "a scenario where you adventure as a knight in medieval Europe," and analyzes that data. Based on this analysis, it prepares to set appropriate parameters for the generative AI model.

[0624] Step 2:

[0625] The generative AI model generates a virtual space based on user input prompts. Specifically, it uses information obtained from prompts sent to the AI ​​model to calculate the terrain, environment, and character characteristics of the stage, and outputs this as digital data. This output data includes detailed environmental design and character placement.

[0626] Step 3:

[0627] The server compresses the generated digital data and prepares it for transmission to the user's terminal. To send it to the terminal, the data is optimized and packetized, ensuring smooth data transfer over the network.

[0628] Step 4:

[0629] The terminal receives digital data transmitted from the server and begins decompression and rendering. Specifically, it decodes the received virtual space information and displays it as an image on the screen in real time. The user interface is updated based on this information, providing the user with an interactive environment.

[0630] Step 5:

[0631] The user initiates interaction within the virtual space through a device. The user's actions, such as movement or selection, are processed by the device as new input data. This data is used to track the user's behavior and trigger its reflection in the environment in the next step.

[0632] Step 6:

[0633] The terminal sends user operation data to the server and requests real-time environmental changes from the server. It calculates environmental changes and story progression based on new inputs and prepares data for the server to make necessary updates.

[0634] Step 7:

[0635] The server re-runs the AI ​​model based on the latest operational data received, generating new virtual events and scenario changes. This result is then generated again as digital data and sent to the terminal.

[0636] Step 8:

[0637] The device receives the updated digital data and renders it again. This ensures that changes to the virtual environment in response to user actions are displayed correctly on the device.

[0638] Step 9:

[0639] Users enter feedback from their device at the end of the experience. This feedback is sent to a server to help refine future AI models and improve the quality of the experience. This feedback process forms the basis for future use.

[0640] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0641] This invention realizes a system that provides a user-optimized virtual experience using generative AI technology and an emotion engine. The system aims to dynamically adjust the virtual space based on the user's behavioral and emotional data, creating an experience that matches the user's needs and emotional state.

[0642] System Configuration

[0643] 1. Server

[0644] The server hosts generative AI technology and an emotion engine, and is responsible for processing data received from users and generating and adjusting virtual spaces.

[0645] The server manages a database that utilizes user feedback to continuously improve AI models and sentiment analysis algorithms.

[0646] 2. Terminal

[0647] The device detects emotional and behavioral data from the user and sends it to the server. Emotional data is collected in real time using cameras and sensors.

[0648] The terminal functions as a display device that presents a virtual space to the user based on generated data received from the server.

[0649] 3. User

[0650] Users can interact with the virtual space through their devices and advance their experience. The user's emotional state is immediately reflected in the experience.

[0651] Users can use the terminal interface to provide feedback after their experience, which contributes to the system's further learning.

[0652] Operation details

[0653] Generation of virtual space

[0654] The server uses an emotion engine and generative AI to work together to generate a virtual space based on the user's emotional state and choices.

[0655] This automated generation process ensures that the user experience is customized to each individual user.

[0656] Collection and reflection of emotional data

[0657] Sensors and cameras built into the device collect emotional data through the user's facial expressions and biometric information. This data is transmitted to a server in real time.

[0658] The server analyzes emotional data and uses an AI model to determine what adjustments are needed within the space.

[0659] Feedback and Learning Process

[0660] Users can provide feedback via their devices after the experience ends. This includes information such as which parts of the experience had an emotional impact on them.

[0661] The server analyzes this feedback and uses it to optimize the emotion engine and generative AI algorithms.

[0662] Specific example

[0663] Users can choose a virtual experience in a forest designed for relaxation. The device's camera detects signs of stress from the user's facial expressions and transmits this information to the server. The server uses an emotion engine to add stress-reducing elements (such as the sound of a gentle breeze or a sunset view) to the virtual space. After the experience ends, the user provides feedback on how the experience affected their emotions, which helps the system to further improve.

[0664] This system allows users to receive personalized virtual experiences that respond to their emotions at any given moment, thereby improving overall satisfaction and engagement.

[0665] The following describes the processing flow.

[0666] Step 1:

[0667] The user launches the application on their device and enters their login information. The device sends the provided authentication information to the server and starts the authentication process.

[0668] Step 2:

[0669] The server checks the database to verify the authentication information. If authentication is successful, the server generates a user-specific session ID and sends it to the terminal.

[0670] Step 3:

[0671] The user selects the virtual environment they want to experience from the terminal's interface. The selection is then sent from the terminal to the server.

[0672] Step 4:

[0673] Based on the received selection information, the server activates a generation AI to create objects and environments in the virtual space. Simultaneously, it activates an emotion engine to prepare for monitoring the user's emotional data.

[0674] Step 5:

[0675] The terminal receives the data necessary to display the virtual space from the server, renders that information in real time, and presents it to the user.

[0676] Step 6:

[0677] The user explores the virtual space and progresses through the experience. During this time, the device uses built-in sensors to detect the user's emotional data (facial expressions and biometric information) and transmits it to the server in real time.

[0678] Step 7:

[0679] The server uses an emotion engine to analyze the user's emotional data and dynamically adjusts the virtual environment and objects based on the results. This ensures that the experience corresponds to the user's emotional state.

[0680] Step 8:

[0681] After the experience ends, users submit feedback about the experience using their device's interface. This feedback is stored on the server and used to improve the AI ​​and emotion engine.

[0682] Step 9:

[0683] The server analyzes feedback and sentiment data to adjust and optimize the algorithms of the generative AI and sentiment engine. As a result, the system can provide more accurate and personalized services in subsequent experiences.

[0684] (Example 2)

[0685] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0686] Traditional virtual environments have struggled to provide personalized experiences that adequately reflect the user's emotional state, resulting in lower user satisfaction. Furthermore, they have a drawback: they cannot reflect real-time emotional changes, leading to a decline in the quality of the user experience.

[0687] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0688] In this invention, the server includes means for detecting and collecting user emotional and behavioral information, means for automatically generating and adjusting a virtual environment based on the user's emotional state using generative AI technology and emotion analysis functions, and means for analyzing the emotional information obtained from the user and making necessary adjustments within the virtual space. This makes it possible to provide a specialized virtual experience tailored to the individual emotional state of the user.

[0689] "User emotional information" refers to data that indicates the user's emotional state, including facial expressions, tone of voice, and heart rate.

[0690] "Behavioral information" refers to data about the actions and choices a user makes in the virtual space, including movement patterns and interaction history.

[0691] "Generative AI technology" is a technology that uses artificial intelligence to automatically generate virtual environments and content.

[0692] "Emotion analysis function" is a technology that analyzes a user's emotional information and identifies their emotional state.

[0693] A "virtual environment" is a simulated space created on a computer that users can experience.

[0694] "Feedback" refers to the reactions and opinions that users provide through their experience, and is information used to improve the system.

[0695] This invention relates to a system that provides users with personalized virtual experiences. This system consists of the following components:

[0696] 1. Server

[0697] The server hosts generative AI models and sentiment analysis capabilities. It receives user sentiment and behavioral information transmitted from terminals and uses this information to perform calculations for generating and adjusting the virtual environment. Specifically, the hardware consists of a computer with a high-performance processor and large memory capacity, while the software includes machine learning libraries and a database management system.

[0698] 2. Terminal

[0699] The device collects emotional and behavioral information from the user in real time. Specifically, it uses devices such as cameras, microphones, and sensors to detect biometric information such as the user's facial expressions, voice tone, and heart rate. This information is immediately transmitted to the server. The device also has the function of displaying a virtual environment for the user based on generated data sent from the server.

[0700] 3. User

[0701] Users interact with the virtual environment using a terminal. Users can provide feedback based on their experience, which allows the system to be further optimized.

[0702] As a concrete example, if a user desires a calm virtual environment to reduce stress, the device's camera detects signs of stress from the user's facial expressions. Based on this information, the server uses generative AI to generate a calm lakeside landscape in the virtual space and presents it to the user via the device. An example of a prompt message used in this case would be, "Generate a calm water landscape to reduce the user's stress."

[0703] This makes it possible to create a system where users can receive experiences tailored to their individual emotional states, thereby improving their satisfaction and immersion.

[0704] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0705] Step 1:

[0706] The device uses cameras and sensors to collect user emotional and behavioral information. Specifically, the device detects the user's facial expressions, voice tone, heart rate, etc., and acquires this data in digital format. The input is the user's biometric information, and the output is the collected raw emotional data. This data is prepared for use in subsequent processes.

[0707] Step 2:

[0708] The terminal sends collected emotional and behavioral information to the server. Data transmission occurs in real time, and the transmitted data includes a session ID to identify the user. The input is the collected user data, and the output is the packet data sent to the server. This transmission prepares the server to analyze the data for each user.

[0709] Step 3:

[0710] The server analyzes the received data to identify the user's current emotional state. Specifically, it uses machine learning algorithms to process the data and quantify stress levels, happiness levels, and other factors. The input is emotional data sent from the terminal, and the output is the analysis result of the user's emotional state. This analysis result forms the basis for the next spatial generation.

[0711] Step 4:

[0712] The server uses a generative AI model to create prompt messages based on the analyzed emotional state. These prompt messages are in the format of "Generate a calm waterside landscape to help the user relax." The input is the result of the emotional state analysis, and the output is the prompt message for the generative AI. This prompt message enables the AI ​​to accurately generate virtual spaces.

[0713] Step 5:

[0714] The server inputs prompts into the generative AI model, which then generates a virtual space. The generative AI model combines specified elements to create a comfortable and personalized virtual environment. The input is the prompt, and the output is the data of the generated virtual space. This data is then ready to be sent to the terminal.

[0715] Step 6:

[0716] The terminal presents a virtual space to the user based on generated data transmitted from the server. The user can experience the generated space using the terminal's display and sound system. The input is virtual space data from the generating AI, and the output is the virtual environment that the user visually perceives. This experience is provided to the user.

[0717] Step 7:

[0718] The user interacts with the virtual space described above to advance the experience. Through the interface, the user can move within the virtual space and interact with objects placed within it. The input is the presented virtual environment, and the output is the user's behavioral data. The user's experience contributes to the following feedback process.

[0719] Step 8:

[0720] Users provide feedback after completing an experience. This feedback includes emotional impact and suggestions for improving the experience. The input is the user's entire experience, and the output is the feedback information. The server utilizes this feedback as a hint for improvement in the next update. This process improves the overall accuracy of the system.

[0721] (Application Example 2)

[0722] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server," and the headset-type terminal 314 will be referred to as the "terminal."

[0723] Conventional virtual experience systems only customize the environment based on user input, making it difficult to provide an experience that takes into account the user's emotional state. Furthermore, there was a need for a system that could automatically provide product recommendations and environmental adjustments tailored to the user's emotions.

[0724] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0725] In this invention, the server includes means for automatically generating objects and environments in a virtual space using generative AI technology, means for dynamically adjusting the experience in the virtual space based on the user's emotional information, means for collecting evaluation information from the user and improving the virtual space using generative AI technology, and means for analyzing the user's emotional information and changing product recommendations and the environment to match the user's emotional state. This makes it possible to provide an optimal virtual experience that corresponds to the user's emotional state.

[0726] "Generative AI technology" refers to artificial intelligence technology that automatically generates content and environments in a digital setting.

[0727] A "virtual space" is a computer-generated, three-dimensional virtual environment that allows users to experience it as if they were actually present in that space.

[0728] "Means for automatically generating objects and environments" refers to technologies that use generative AI technology to create objects and scenes in a virtual world without user intervention.

[0729] "Emotional information" refers to data that indicates the user's emotional state, including real-time information based on facial expressions and physiological indicators.

[0730] "Dynamic adjustment methods" refer to technical techniques that automatically modify the environment and user experience in real time based on constantly changing information.

[0731] "Means for collecting evaluation information" refers to methods for gathering feedback provided by users after their experience and using that feedback to improve the system.

[0732] "Product recommendation" is a technology that presents appropriate products and services based on the user's preferences and emotional state.

[0733] In this invention's system, smart glasses are used as the device worn by the user. The server integrates a generative AI model and an emotion engine, and is responsible for dynamically generating and adjusting the virtual space based on the user's emotional state. The user's emotional information is collected in real time through cameras and sensors installed in the smart glasses and sent to the server for processing. The server analyzes this data and generates content optimized for the user.

[0734] Smart glasses overlay virtual content generated within the user's field of vision, enabling them to experience virtual shopping. The server also recommends products based on the user's preferences and emotional state, providing a personalized experience for each individual user. For example, if a user's emotional state indicates stress, the server uses an AI model to generate recommendations for relaxing products, which are then displayed on the screen through the glasses.

[0735] A concrete example of this system is when a user visits a virtual cafe, and it recommends beverages that have a stress-relieving effect, along with peaceful and relaxing music. An example of a prompt that the system inputs to the AI ​​model is, "If the user's emotional state is stressed, generate recommendations for relaxing products along with calming music." This prompt enables a virtual experience that takes the user's emotions into consideration.

[0736] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0737] Step 1:

[0738] The device uses the smart glasses' camera and sensors to collect emotional information in real time from the user's facial expressions and physiological indicators. This emotional information becomes input data and is sent to the server. The specific data collection and transmission operations performed by the device involve capturing facial expressions with the built-in camera and measuring skin potential and heart rate with sensors, aggregating this data, and sending it to the server.

[0739] Step 2:

[0740] The server uses an emotion engine to analyze the user's current emotional state based on the emotional information transmitted from the terminal. This analysis classifies the user's emotions into states such as relaxation, stress, and joy. The input is the received emotional information, and the output is the analysis result from the emotion engine. Specifically, the operation involves inputting the emotional data into a neural network model and performing a process to predict the emotional state.

[0741] Step 3:

[0742] The server uses prompts to generate virtual content that corresponds to the user's emotional state in the generating AI model. For example, the prompt "If the user's emotional state is stressed, generate recommendations for relaxing products along with calming music" is input to the generating AI model. The input consists of the prompt and the emotional state, and the generated virtual content is output. Specifically, the generating AI uses these inputs to automatically generate text and visual content.

[0743] Step 4:

[0744] The server sends the generated virtual content to the terminal, which then overlays it onto the user's field of view. This allows the user to experience a customized virtual environment through smart glasses. The input is the generated and sent content, and the output is the visual information presented to the user. Specifically, the display device projects 3D graphics and associated text onto the user's field of view.

[0745] Step 5:

[0746] Users provide feedback after their experience, and the device collects this feedback and sends it to the server. The server uses this information to continuously improve the generative AI model and emotion engine. The input is user feedback, and the output is the result of model adjustments. Specifically, the system displays a feedback form to the user, saves the collected feedback to a database, and uses it to retrain the AI ​​model.

[0747] The specific processing unit 290 transmits the result of the specific processing to the headset terminal 314. In the headset terminal 314, the control unit 46A causes the speaker 240 and display 343 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0748] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0749] In the above embodiment, an example was given in which specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and specific processing may also be performed by the headset terminal 314.

[0750] [Fourth Embodiment]

[0751] Figure 7 shows an example of the configuration of the data processing system 410 according to the fourth embodiment.

[0752] As shown in Figure 7, the data processing system 410 includes a data processing device 12 and a robot 414. An example of the data processing device 12 is a server.

[0753] The data processing device 12 comprises a computer 22, a database 24, and a communication interface 26. The computer 22 is an example of a "computer" related to the technology of this disclosure. The computer 22 comprises a processor 28, RAM 30, and storage 32. The processor 28, RAM 30, and storage 32 are connected to a bus 34. The database 24 and the communication interface 26 are also connected to the bus 34. The communication interface 26 is connected to a network 54. An example of the network 54 is a WAN (Wide Area Network) and / or a LAN (Local Area Network).

[0754] The robot 414 includes a computer 36, a microphone 238, a speaker 240, a camera 42, a communication interface 44, and a controlled object 443. The computer 36 includes a processor 46, RAM 48, and storage 50. The processor 46, RAM 48, and storage 50 are connected to a bus 52. The microphone 238, speaker 240, camera 42, and controlled object 443 are also connected to the bus 52.

[0755] The microphone 238 receives voice signals from the user 20 and receives instructions from the user 20. The microphone 238 captures the voice signals from the user 20, converts the captured voice into audio data, and outputs it to the processor 46. The speaker 240 outputs audio according to the instructions from the processor 46.

[0756] Camera 42 is a small digital camera equipped with an optical system including a lens, aperture, and shutter, and an image sensor such as a CMOS (Complementary Metal-Oxide-Semiconductor) image sensor or a CCD (Charge Coupled Device) image sensor, and captures images of the area around the user 20 (for example, an imaging range defined by a field of view equivalent to the width of a typical healthy person's field of vision).

[0757] Communication interface 44 is connected to network 54. Communication interfaces 44 and 26 are responsible for the exchange of various information between processor 46 and processor 28 via network 54. The exchange of various information between processor 46 and processor 28 using communication interfaces 44 and 26 is performed in a secure manner.

[0758] The controlled object 443 includes a display device, LEDs in the eyes, and motors that drive the arms, hands, and feet. The posture and gestures of the robot 414 are controlled by controlling the motors of the arms, hands, and feet. Some of the robot 414's emotions can be expressed by controlling these motors. Furthermore, the robot 414's facial expressions can also be expressed by controlling the illumination state of the LEDs in its eyes.

[0759] Figure 8 shows an example of the main functions of the data processing device 12 and the robot 414. As shown in Figure 8, the data processing device 12 performs specific processing using the processor 28. The storage 32 stores the specific processing program 56.

[0760] The specific processing program 56 is an example of a "program" relating to the technology of this disclosure. The processor 28 reads the specific processing program 56 from the storage 32 and executes the read specific processing program 56 on the RAM 30. The specific processing is realized by the processor 28 operating as a specific processing unit 290 in accordance with the specific processing program 56 executed on the RAM 30.

[0761] The storage 32 stores the data generation model 58 and the emotion identification model 59. The data generation model 58 and the emotion identification model 59 are used by the identification processing unit 290.

[0762] In robot 414, the processor 46 performs the reception output processing. The storage 50 stores the reception output program 60. The processor 46 reads the reception output program 60 from the storage 50 and executes the read reception output program 60 on the RAM 48. The reception output processing is realized by the processor 46 operating as a control unit 46A according to the reception output program 60 executed on the RAM 48.

[0763] Next, the specific processing performed by the specific processing unit 290 of the data processing device 12 will be described. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0764] This invention provides a system that uses generative AI technology to offer users diverse and customized virtual experiences.

[0765] System Configuration

[0766] 1. Server

[0767] The server acts as a central processing unit, hosting generative AI technology and generating virtual space objects and environments based on user input.

[0768] The server sends the generated content to the user's device and communicates with a database that enables the delivery of a real-time experience.

[0769] 2. Terminal

[0770] The terminal provides a user interface and functions as a dedicated device for users to browse and interact with the virtual space.

[0771] The terminal's role is to render the virtual space based on data received from the server and to send user input to the server.

[0772] 3. User

[0773] Users can use their devices to select and explore a variety of virtual experiences.

[0774] Users provide feedback through the interface, and the server collects this information to improve the quality of the next experience.

[0775] Operation details

[0776] Virtual space generation using AI

[0777] The server uses AI algorithms to generate virtual spaces tailored to user selections and needs predicted from past feedback.

[0778] This generation process is automated, eliminating the need for traditional manual design work.

[0779] User customization and interaction

[0780] Users can choose an experience from the options provided and personalize that experience through their device.

[0781] User actions are sent to the server in real time and reflected immediately.

[0782] Optimization using a feedback loop

[0783] After the experience ends, users can provide ratings and feedback on their devices.

[0784] The server analyzes this feedback and adjusts the generated AI to optimize future experiences.

[0785] Specific example

[0786] If a user wants to experience a fantasy world inhabited by dragons, they can submit a request from their device. The server uses a generation AI to generate a dragon valley and its surrounding environment in real time, and sends this information to the device. The user can freely explore this space and experience interactions with dragons. After the experience, the user provides feedback on the dragons' behavior and the design of the environment, which the server uses to improve future generation.

[0787] This system allows users to have a more personalized virtual experience, and its accuracy and satisfaction improve over time.

[0788] The following describes the processing flow.

[0789] Step 1:

[0790] The user launches the application on their device and enters their authentication information on the login screen. When the user attempts to log in, the device sends this information to the server and requests authentication.

[0791] Step 2:

[0792] The server queries the database to verify authentication information. If authentication is successful, the server generates a user-specific session ID and returns this information to the terminal. The terminal stores this session ID and starts a session.

[0793] Step 3:

[0794] The user browses a list of virtual experiences from the device's interface and selects the desired experience. Once a selection is made, the device sends this selection information to the server.

[0795] Step 4:

[0796] The server activates a generative AI based on the selected experience to generate the necessary virtual space. The generative AI automatically generates spaces and objects, taking into account the user's profile and past feedback data.

[0797] Step 5:

[0798] The server sends the generated virtual space data to the terminal. The terminal receives this data, performs 3D rendering in real time based on it, and presents the virtual space to the user.

[0799] Step 6:

[0800] Users interact with the virtual space via their devices and proceed with their exploration. User actions encompass a wide range of activities, including movement, object manipulation, and communication, and this information is immediately fed back to the server.

[0801] Step 7:

[0802] After the experience ends, users open a feedback form on their device and enter their evaluation and opinions about the experience. The device then sends this feedback to the server in digital format.

[0803] Step 8:

[0804] The server analyzes the received feedback and behavioral data and adjusts the generation AI algorithm. This allows the system to learn so that future experiences are better tailored to user needs.

[0805] (Example 1)

[0806] Next, we will describe Example 1. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0807] In modern virtual reality environments, it is difficult to quickly and appropriately deliver the personalized experiences that users desire. Furthermore, conventional technologies are insufficient to accurately analyze user evaluations and past behavioral information and reflect them in subsequent experiences. Moreover, there is a need to maintain real-time responsiveness during virtual environment experiences while modifying the environment to meet changing user needs.

[0808] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 1 is realized by the following means.

[0809] In this invention, the server includes means for automatically constructing objects and situations within a virtual environment using a generation algorithm, means for personalizing the experience within the virtual environment based on user input, and means for collecting user feedback and improving the virtual environment using the generation algorithm. This makes it possible to provide users with a more personalized and real-time adaptable virtual experience.

[0810] A "generative algorithm" is a series of computational procedures for automatically constructing objects and situations within a virtual environment based on input information.

[0811] A "virtual environment" is a digital space created using computer technology that is similar to or completely different from the real world.

[0812] "Objects" refer to structures or characters with three-dimensional shapes that exist within a virtual environment.

[0813] "Situation" refers to the overall environmental settings within the virtual environment, including terrain, weather, time of day, and so on.

[0814] "User" refers to a person who experiences and operates the virtual environment through the system.

[0815] "Input" refers to the selections, commands, or feedback that the user provides to the system.

[0816] "Personalization" means optimizing the content of the experience according to the needs and preferences of each user.

[0817] "Evaluation" refers to the impressions and opinions that users provide after experiencing something.

[0818] "Collection" refers to the process by which a system takes in data from users.

[0819] "Improvement" means enhancing the quality of systems and experiences based on collected data.

[0820] This invention aims to provide users with personalized experiences through a virtual space provisioning system equipped with a generation algorithm. This system consists of three main components: a server, a terminal, and a user.

[0821] server

[0822] The server hosts the generative AI model and plays a central role in it. This server receives user input and uses generative algorithms to create a virtual environment in which objects and situations are constructed in real time. Specifically, it analyzes the input prompt sentences and past evaluation information to design an optimized virtual space. For example, if a prompt sentence such as "I want to meet and talk to a dragon in a fantasy world" is entered, the server will generate a valley and forest where dragons exist and send that information to the terminal.

[0823] terminal

[0824] The terminal provides an interface for the user to interact with the virtual environment. Based on data sent from the server, the terminal performs high-quality rendering, allowing the user to experience the virtual space. The user's actions and inputs are transmitted to the server in real time via the terminal, and the server uses this input information to modify the rendering and optimize the environment.

[0825] User

[0826] Through this system, users can select and enjoy a variety of virtual experiences. After an experience, users input their ratings and feedback into their device, and this information is collected on the server. This feedback is used to improve the quality of future experiences, and the server adjusts the generation algorithm accordingly.

[0827] As described above, this invention is a mechanism that utilizes a generation algorithm to provide users with diverse and personalized virtual spaces. Each experience is uniquely generated based on user prompts, making it possible to continuously increase user satisfaction.

[0828] The flow of the specific processing in Example 1 will be explained using Figure 11.

[0829] Step 1:

[0830] The user enters a request for a virtual experience through their device. This input is provided to the device as a specific prompt. For example, the user might enter the prompt, "I want to talk to a dragon in a fantasy world." The input information is then sent from the device to the server.

[0831] Step 2:

[0832] The server analyzes the prompt message received from the terminal. Using a generative AI model, it understands the structure and elements of the virtual environment the user desires based on the content of the prompt message. Here, the server also considers the user's past evaluation information and performs data processing to design the optimal experience. As a result, the parameters necessary for generating the virtual environment are output.

[0833] Step 3:

[0834] The server uses a generative AI model to generate a virtual space based on the analyzed parameters. It constructs objects and the environment in real time, such as the valley where the dragons live and the surrounding conditions. The data obtained through this generation process is output as placement information within the virtual environment. This output is then sent to the terminal.

[0835] Step 4:

[0836] The terminal performs high-quality rendering based on virtual environment data received from the server. The user manipulates the rendered virtual space and performs interactions. For example, conversations with dragons and exploration unfold within the virtual space in response to user input. During this time, user operation information is transmitted from the terminal to the server in real time.

[0837] Step 5:

[0838] After the experience ends, users provide feedback on their device. They enter detailed evaluations regarding the dragon's behavior, the quality of the environment, and other aspects. The device sends this feedback data to the server. This feedback is important data for improving the next experience.

[0839] Step 6:

[0840] The server analyzes the collected feedback and uses it to refine the generated AI model. This analysis provides data that improves the quality of the virtual environment provided next time. This makes it possible to continuously increase the satisfaction of the user experience.

[0841] (Application Example 1)

[0842] Next, we will explain Application Example 1. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0843] In modern content delivery services, providing personalized experiences to users is challenging. In particular, there is a lack of means to create dynamically changing scenarios based on user choices and preferences in real-time generated virtual environments. Therefore, developing systems that can enhance immersion while increasing user satisfaction is a key challenge.

[0844] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 1 is realized by the following means.

[0845] In this invention, the server includes means for automatically generating information and scenes in a virtual space using generative AI technology, means for customizing the experience in the virtual space based on user input, means for collecting user feedback and improving the virtual space using generative AI technology, means for transmitting a real-time generated depiction of the virtual space through a user interface, and means for dynamically changing the story or scenario based on user operation. This makes it possible to provide customized stories and experiences that meet the individual preferences of the user and enable real-time interactive participation.

[0846] "Generative AI technology" is a technology that uses artificial intelligence algorithms to automatically generate new digital content and environments based on user input and data.

[0847] A "virtual space" is a virtual three-dimensional space created by computer technology, an environment in which users can experience and manipulate things through interaction.

[0848] "User input" refers to the selections and operational information that users provide to the system, and is data used to create and customize virtual spaces.

[0849] "Feedback" refers to information such as evaluations, opinions, and comments that users provide after experiencing something. The system analyzes this feedback to help improve and optimize the content.

[0850] "Real-time generation" refers to a processing method in which content is instantly generated and updated in response to user actions and selections, and provided to the user without delay.

[0851] A "user interface" refers to the points of contact or operating screens that allow a user to interact with a system, and is a means of inputting information or viewing information.

[0852] "Dynamic changes in the story and scenario" refers to a feature where the story and events change and unfold in real time based on the user's choices and actions, enabling a personalized experience.

[0853] To implement this invention, the server, the user's terminal, and the user each play specific roles. The roles and processes of each are described below.

[0854] Server role and processing:

[0855] The server operates the generative AI technology, which is the central element of this invention. Specifically, the server uses a processing system equipped with a high-performance GPU and leverages machine learning frameworks such as TensorFlow and PyTorch to generate elements of the virtual space based on user input data and feedback. The generated digital information dynamically changes based on user-specified preferences and past behavioral data, and is transmitted to the user in real time through the user interface.

[0856] Terminal role and processing:

[0857] The user's device will be hardware such as a smartphone or a VR device (e.g., MetaQuest). The device will render the virtual environment sent from the server and enable the user to interact with it. Specifically, it will display the virtual space in real time on the device's screen, detect user actions, and send that data back to the server. In addition, the device will send the feedback received from the user to the server, which will be used to improve the experience in the future.

[0858] User roles:

[0859] Users customize and explore their virtual experiences through the interface. When a user selects a genre or specific scenario of interest, the request is sent to the server, and a virtual environment is generated. Users can freely explore this space and progress through the story or scenario. Furthermore, they can provide ratings and feedback after their experience, contributing to future system improvements.

[0860] Specific example:

[0861] For example, if a user selects a scenario where they adventure as a medieval European knight, the server generates a virtual space related to that scenario and sends it to the user's device. In that virtual space, the user can experience various quests set in castles and markets and enjoy their adventure as a knight. The system is continuously optimized to provide new discoveries and experiences through the on-device experience.

[0862] Example of a prompt:

[0863] "Please generate a scenario where the player adventures as a knight in medieval Europe. The setting should include a large castle, a surrounding town, and a thriving civil society, and the story should branch depending on the user's choices at each stage."

[0864] The flow of a specific process in Application Example 1 will be explained using Figure 12.

[0865] Step 1:

[0866] The server receives requests and prompts sent from the user via the terminal. It receives input from the user, such as "a scenario where you adventure as a knight in medieval Europe," and analyzes that data. Based on this analysis, it prepares to set appropriate parameters for the generative AI model.

[0867] Step 2:

[0868] The generative AI model generates a virtual space based on user input prompts. Specifically, it uses information obtained from prompts sent to the AI ​​model to calculate the terrain, environment, and character characteristics of the stage, and outputs this as digital data. This output data includes detailed environmental design and character placement.

[0869] Step 3:

[0870] The server compresses the generated digital data and prepares it for transmission to the user's terminal. To send it to the terminal, the data is optimized and packetized, ensuring smooth data transfer over the network.

[0871] Step 4:

[0872] The terminal receives digital data transmitted from the server and begins decompression and rendering. Specifically, it decodes the received virtual space information and displays it as an image on the screen in real time. The user interface is updated based on this information, providing the user with an interactive environment.

[0873] Step 5:

[0874] The user initiates interaction within the virtual space through a device. The user's actions, such as movement or selection, are processed by the device as new input data. This data is used to track the user's behavior and trigger its reflection in the environment in the next step.

[0875] Step 6:

[0876] The terminal sends user operation data to the server and requests real-time environmental changes from the server. It calculates environmental changes and story progression based on new inputs and prepares data for the server to make necessary updates.

[0877] Step 7:

[0878] The server re-runs the AI ​​model based on the latest operational data received, generating new virtual events and scenario changes. This result is then generated again as digital data and sent to the terminal.

[0879] Step 8:

[0880] The device receives the updated digital data and renders it again. This ensures that changes to the virtual environment in response to user actions are displayed correctly on the device.

[0881] Step 9:

[0882] Users enter feedback from their device at the end of the experience. This feedback is sent to a server to help refine future AI models and improve the quality of the experience. This feedback process forms the basis for future use.

[0883] Furthermore, an emotion engine that estimates the user's emotions may be incorporated. That is, the identification processing unit 290 may use the emotion identification model 59 to estimate the user's emotions and perform identification processing using the user's emotions.

[0884] This invention realizes a system that provides a user-optimized virtual experience using generative AI technology and an emotion engine. The system aims to dynamically adjust the virtual space based on the user's behavioral and emotional data, creating an experience that matches the user's needs and emotional state.

[0885] System Configuration

[0886] 1. Server

[0887] The server hosts generative AI technology and an emotion engine, and is responsible for processing data received from users and generating and adjusting virtual spaces.

[0888] The server manages a database that utilizes user feedback to continuously improve AI models and sentiment analysis algorithms.

[0889] 2. Terminal

[0890] The device detects emotional and behavioral data from the user and sends it to the server. Emotional data is collected in real time using cameras and sensors.

[0891] The terminal functions as a display device that presents a virtual space to the user based on generated data received from the server.

[0892] 3. User

[0893] Users can interact with the virtual space through their devices and advance their experience. The user's emotional state is immediately reflected in the experience.

[0894] Users can use the terminal interface to provide feedback after their experience, which contributes to the system's further learning.

[0895] Operation details

[0896] Generation of virtual space

[0897] The server uses an emotion engine and generative AI to work together to generate a virtual space based on the user's emotional state and choices.

[0898] This automated generation process ensures that the user experience is customized to each individual user.

[0899] Collection and reflection of emotional data

[0900] Sensors and cameras built into the device collect emotional data through the user's facial expressions and biometric information. This data is transmitted to a server in real time.

[0901] The server analyzes emotional data and uses an AI model to determine what adjustments are needed within the space.

[0902] Feedback and Learning Process

[0903] Users can provide feedback via their devices after the experience ends. This includes information such as which parts of the experience had an emotional impact on them.

[0904] The server analyzes this feedback and uses it to optimize the emotion engine and generative AI algorithms.

[0905] Specific example

[0906] Users can choose a virtual experience in a forest designed for relaxation. The device's camera detects signs of stress from the user's facial expressions and transmits this information to the server. The server uses an emotion engine to add stress-reducing elements (such as the sound of a gentle breeze or a sunset view) to the virtual space. After the experience ends, the user provides feedback on how the experience affected their emotions, which helps the system to further improve.

[0907] This system allows users to receive personalized virtual experiences that respond to their emotions at any given moment, thereby improving overall satisfaction and engagement.

[0908] The following describes the processing flow.

[0909] Step 1:

[0910] The user launches the application on their device and enters their login information. The device sends the provided authentication information to the server and starts the authentication process.

[0911] Step 2:

[0912] The server checks the database to verify the authentication information. If authentication is successful, the server generates a user-specific session ID and sends it to the terminal.

[0913] Step 3:

[0914] The user selects the virtual environment they want to experience from the terminal's interface. The selection is then sent from the terminal to the server.

[0915] Step 4:

[0916] Based on the received selection information, the server activates a generation AI to create objects and environments in the virtual space. Simultaneously, it activates an emotion engine to prepare for monitoring the user's emotional data.

[0917] Step 5:

[0918] The terminal receives the data necessary to display the virtual space from the server, renders that information in real time, and presents it to the user.

[0919] Step 6:

[0920] The user explores the virtual space and progresses through the experience. During this time, the device uses built-in sensors to detect the user's emotional data (facial expressions and biometric information) and transmits it to the server in real time.

[0921] Step 7:

[0922] The server uses an emotion engine to analyze the user's emotional data and dynamically adjusts the virtual environment and objects based on the results. This ensures that the experience corresponds to the user's emotional state.

[0923] Step 8:

[0924] After the experience ends, users submit feedback about the experience using their device's interface. This feedback is stored on the server and used to improve the AI ​​and emotion engine.

[0925] Step 9:

[0926] The server analyzes feedback and sentiment data to adjust and optimize the algorithms of the generative AI and sentiment engine. As a result, the system can provide more accurate and personalized services in subsequent experiences.

[0927] (Example 2)

[0928] Next, we will describe Example 2. In the following description, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0929] Traditional virtual environments have struggled to provide personalized experiences that adequately reflect the user's emotional state, resulting in lower user satisfaction. Furthermore, they have a drawback: they cannot reflect real-time emotional changes, leading to a decline in the quality of the user experience.

[0930] The identification process performed by the identification processing unit 290 of the data processing device 12 in Example 2 is realized by the following means.

[0931] In this invention, the server includes means for detecting and collecting user emotional and behavioral information, means for automatically generating and adjusting a virtual environment based on the user's emotional state using generative AI technology and emotion analysis functions, and means for analyzing the emotional information obtained from the user and making necessary adjustments within the virtual space. This makes it possible to provide a specialized virtual experience tailored to the individual emotional state of the user.

[0932] "User emotional information" refers to data that indicates the user's emotional state, including facial expressions, tone of voice, and heart rate.

[0933] "Behavioral information" refers to data about the actions and choices a user makes in the virtual space, including movement patterns and interaction history.

[0934] "Generative AI technology" is a technology that uses artificial intelligence to automatically generate virtual environments and content.

[0935] "Emotion analysis function" is a technology that analyzes a user's emotional information and identifies their emotional state.

[0936] A "virtual environment" is a simulated space created on a computer that users can experience.

[0937] "Feedback" refers to the reactions and opinions that users provide through their experience, and is information used to improve the system.

[0938] This invention relates to a system that provides users with personalized virtual experiences. This system consists of the following components:

[0939] 1. Server

[0940] The server hosts generative AI models and sentiment analysis capabilities. It receives user sentiment and behavioral information transmitted from terminals and uses this information to perform calculations for generating and adjusting the virtual environment. Specifically, the hardware consists of a computer with a high-performance processor and large memory capacity, while the software includes machine learning libraries and a database management system.

[0941] 2. Terminal

[0942] The device collects emotional and behavioral information from the user in real time. Specifically, it uses devices such as cameras, microphones, and sensors to detect biometric information such as the user's facial expressions, voice tone, and heart rate. This information is immediately transmitted to the server. The device also has the function of displaying a virtual environment for the user based on generated data sent from the server.

[0943] 3. User

[0944] Users interact with the virtual environment using a terminal. Users can provide feedback based on their experience, which allows the system to be further optimized.

[0945] As a concrete example, if a user desires a calm virtual environment to reduce stress, the device's camera detects signs of stress from the user's facial expressions. Based on this information, the server uses generative AI to generate a calm lakeside landscape in the virtual space and presents it to the user via the device. An example of a prompt message used in this case would be, "Generate a calm water landscape to reduce the user's stress."

[0946] This makes it possible to create a system where users can receive experiences tailored to their individual emotional states, thereby improving their satisfaction and immersion.

[0947] The flow of the specific processing in Example 2 will be explained using Figure 13.

[0948] Step 1:

[0949] The device uses cameras and sensors to collect user emotional and behavioral information. Specifically, the device detects the user's facial expressions, voice tone, heart rate, etc., and acquires this data in digital format. The input is the user's biometric information, and the output is the collected raw emotional data. This data is prepared for use in subsequent processes.

[0950] Step 2:

[0951] The terminal sends collected emotional and behavioral information to the server. Data transmission occurs in real time, and the transmitted data includes a session ID to identify the user. The input is the collected user data, and the output is the packet data sent to the server. This transmission prepares the server to analyze the data for each user.

[0952] Step 3:

[0953] The server analyzes the received data to identify the user's current emotional state. Specifically, it uses machine learning algorithms to process the data and quantify stress levels, happiness levels, and other factors. The input is emotional data sent from the terminal, and the output is the analysis result of the user's emotional state. This analysis result forms the basis for the next spatial generation.

[0954] Step 4:

[0955] The server uses a generative AI model to create prompt messages based on the analyzed emotional state. These prompt messages are in the format of "Generate a calm waterside landscape to help the user relax." The input is the result of the emotional state analysis, and the output is the prompt message for the generative AI. This prompt message enables the AI ​​to accurately generate virtual spaces.

[0956] Step 5:

[0957] The server inputs prompts into the generative AI model, which then generates a virtual space. The generative AI model combines specified elements to create a comfortable and personalized virtual environment. The input is the prompt, and the output is the data of the generated virtual space. This data is then ready to be sent to the terminal.

[0958] Step 6:

[0959] The terminal presents a virtual space to the user based on generated data transmitted from the server. The user can experience the generated space using the terminal's display and sound system. The input is virtual space data from the generating AI, and the output is the virtual environment that the user visually perceives. This experience is provided to the user.

[0960] Step 7:

[0961] The user interacts with the virtual space described above to advance the experience. Through the interface, the user can move within the virtual space and interact with objects placed within it. The input is the presented virtual environment, and the output is the user's behavioral data. The user's experience contributes to the following feedback process.

[0962] Step 8:

[0963] Users provide feedback after completing an experience. This feedback includes emotional impact and suggestions for improving the experience. The input is the user's entire experience, and the output is the feedback information. The server utilizes this feedback as a hint for improvement in the next update. This process improves the overall accuracy of the system.

[0964] (Application Example 2)

[0965] Next, we will explain application example 2. In the following explanation, the data processing device 12 will be referred to as the "server" and the robot 414 as the "terminal".

[0966] Conventional virtual experience systems only customize the environment based on user input, making it difficult to provide an experience that takes into account the user's emotional state. Furthermore, there was a need for a system that could automatically provide product recommendations and environmental adjustments tailored to the user's emotions.

[0967] The specific processing performed by the specific processing unit 290 of the data processing device 12 in Application Example 2 is realized by the following means.

[0968] In this invention, the server includes means for automatically generating objects and environments in a virtual space using generative AI technology, means for dynamically adjusting the experience in the virtual space based on the user's emotional information, means for collecting evaluation information from the user and improving the virtual space using generative AI technology, and means for analyzing the user's emotional information and changing product recommendations and the environment to match the user's emotional state. This makes it possible to provide an optimal virtual experience that corresponds to the user's emotional state.

[0969] "Generative AI technology" refers to artificial intelligence technology that automatically generates content and environments in a digital setting.

[0970] A "virtual space" is a computer-generated, three-dimensional virtual environment that allows users to experience it as if they were actually present in that space.

[0971] "Means for automatically generating objects and environments" refers to technologies that use generative AI technology to create objects and scenes in a virtual world without user intervention.

[0972] "Emotional information" refers to data that indicates the user's emotional state, including real-time information based on facial expressions and physiological indicators.

[0973] "Dynamic adjustment methods" refer to technical techniques that automatically modify the environment and user experience in real time based on constantly changing information.

[0974] "Means for collecting evaluation information" refers to methods for gathering feedback provided by users after their experience and using that feedback to improve the system.

[0975] "Product recommendation" is a technology that presents appropriate products and services based on the user's preferences and emotional state.

[0976] In this invention's system, smart glasses are used as the device worn by the user. The server integrates a generative AI model and an emotion engine, and is responsible for dynamically generating and adjusting the virtual space based on the user's emotional state. The user's emotional information is collected in real time through cameras and sensors installed in the smart glasses and sent to the server for processing. The server analyzes this data and generates content optimized for the user.

[0977] Smart glasses overlay virtual content generated within the user's field of vision, enabling them to experience virtual shopping. The server also recommends products based on the user's preferences and emotional state, providing a personalized experience for each individual user. For example, if a user's emotional state indicates stress, the server uses an AI model to generate recommendations for relaxing products, which are then displayed on the screen through the glasses.

[0978] A concrete example of this system is when a user visits a virtual cafe, and it recommends beverages that have a stress-relieving effect, along with peaceful and relaxing music. An example of a prompt that the system inputs to the AI ​​model is, "If the user's emotional state is stressed, generate recommendations for relaxing products along with calming music." This prompt enables a virtual experience that takes the user's emotions into consideration.

[0979] The flow of a specific process in Application Example 2 will be explained using Figure 14.

[0980] Step 1:

[0981] The device uses the smart glasses' camera and sensors to collect emotional information in real time from the user's facial expressions and physiological indicators. This emotional information becomes input data and is sent to the server. The specific data collection and transmission operations performed by the device involve capturing facial expressions with the built-in camera and measuring skin potential and heart rate with sensors, aggregating this data, and sending it to the server.

[0982] Step 2:

[0983] The server uses an emotion engine to analyze the user's current emotional state based on the emotional information transmitted from the terminal. This analysis classifies the user's emotions into states such as relaxation, stress, and joy. The input is the received emotional information, and the output is the analysis result from the emotion engine. Specifically, the operation involves inputting the emotional data into a neural network model and performing a process to predict the emotional state.

[0984] Step 3:

[0985] The server uses prompts to generate virtual content that corresponds to the user's emotional state in the generating AI model. For example, the prompt "If the user's emotional state is stressed, generate recommendations for relaxing products along with calming music" is input to the generating AI model. The input consists of the prompt and the emotional state, and the generated virtual content is output. Specifically, the generating AI uses these inputs to automatically generate text and visual content.

[0986] Step 4:

[0987] The server sends the generated virtual content to the terminal, which then overlays it onto the user's field of view. This allows the user to experience a customized virtual environment through smart glasses. The input is the generated and sent content, and the output is the visual information presented to the user. Specifically, the display device projects 3D graphics and associated text onto the user's field of view.

[0988] Step 5:

[0989] Users provide feedback after their experience, and the device collects this feedback and sends it to the server. The server uses this information to continuously improve the generative AI model and emotion engine. The input is user feedback, and the output is the result of model adjustments. Specifically, the system displays a feedback form to the user, saves the collected feedback to a database, and uses it to retrain the AI ​​model.

[0990] The specific processing unit 290 transmits the result of the specific processing to the robot 414. In the robot 414, the control unit 46A causes the speaker 240 and the controlled object 443 to output the result of the specific processing. The microphone 238 acquires audio indicating user input for the result of the specific processing. The control unit 46A transmits the audio data indicating user input acquired by the microphone 238 to the data processing unit 12. In the data processing unit 12, the specific processing unit 290 acquires the audio data.

[0991] Data generation model 58 is a type of so-called generative AI (Artificial Intelligence). One example of data generation model 58 is ChatGPT (Internet search<URL: https: / / openai.com / blog / chatgpt> ), Gemini (Internet search) <url: https: gemini.google.com ?hl="ja">Examples of generative AI include the following. The data generation model 58 is obtained by performing deep learning on a neural network. The data generation model 58 is input with prompts containing instructions, and with inference data such as audio data representing speech, text data representing text, and image data representing images. The data generation model 58 infers from the input inference data according to the instructions indicated by the prompts, and outputs the inference results in data formats such as audio data and text data. Here, inference refers to, for example, analysis, classification, prediction, and / or summarization.

[0992] In the above embodiment, an example was given in which the specific processing is performed by the data processing device 12, but the technology of this disclosure is not limited thereto, and the specific processing may also be performed by the robot 414.

[0993] Furthermore, the emotion identification model 59, acting as an emotion engine, may determine the user's emotion according to a specific mapping. Specifically, the emotion identification model 59 may determine the user's emotion according to a specific mapping, which is an emotion map (see Figure 9). Similarly, the emotion identification model 59 may also determine the robot's emotion, and the identification processing unit 290 may perform identification processing using the robot's emotion.

[0994] Figure 9 shows an emotion map 400 in which multiple emotions are mapped. In the emotion map 400, emotions are arranged in concentric circles radiating from the center. The closer to the center of the concentric circles, the more primitive the emotions are located. Further out of the concentric circles, emotions representing states and actions arising from mental states are located. Emotion is a concept that includes feelings and mental states. On the left side of the concentric circles, emotions that are generally generated from reactions occurring in the brain are located. On the right side of the concentric circles, emotions that are generally induced by situational judgment are located. Above and below the concentric circles, emotions that are generally generated from reactions occurring in the brain and induced by situational judgment are located. In addition, the emotion of "pleasure" is located on the upper side of the concentric circles, and the emotion of "displeasure" is located on the lower side. Thus, in the emotion map 400, multiple emotions are mapped based on the structure in which emotions arise, and emotions that are likely to occur simultaneously are mapped close together.

[0995] These emotions are distributed at the 3 o'clock position on the Emotion Map 400, and usually fluctuate between feelings of security and anxiety. In the right half of the Emotion Map 400, situational awareness takes precedence over internal feelings, resulting in a calm impression.

[0996] The inside of the Emotion Map 400 represents inner thoughts, while the outside represents actions. Therefore, the further you go from the outside of the Emotion Map 400, the more visible (expressed in actions) your emotions become.

[0997] Here, human emotions are based on various balances, such as posture and blood sugar levels. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. Similarly, in robots, cars, motorcycles, etc., emotions can be created based on various balances, such as posture and battery level. When these balances deviate from the ideal, it results in discomfort, and when they approach the ideal, it results in pleasure. The emotion map can be generated, for example, based on Dr. Mitsuyoshi's emotion map (Research on a system for analyzing brain physiological signals of speech emotion recognition and emotion, Tokushima University, doctoral dissertation: https: / / ci.nii.ac.jp / naid / 500000375379). The left half of the emotion map contains emotions belonging to a region called "response," where sensation is dominant. The right half of the emotion map contains emotions belonging to a region called "situation," where situational awareness is dominant.

[0998] The emotion map defines two emotions that promote learning. One is the emotion around the middle of the negative "repentance" and "reflection" on the situation side. In other words, it is when the robot experiences negative emotions such as "I never want to feel this way again" or "I don't want to be scolded again." The other is the emotion around the positive "desire" on the reaction side. In other words, it is when the robot has positive feelings such as "I want more" or "I want to know more."

[0999] The emotion identification model 59 inputs user input into a pre-trained neural network, obtains emotion values ​​representing each emotion shown in the emotion map 400, and determines the user's emotion. This neural network is pre-trained based on multiple training data sets, which are combinations of user input and emotion values ​​representing each emotion shown in the emotion map 400. Furthermore, this neural network is trained so that emotions located close together have similar values, as shown in the emotion map 900 in Figure 10. Figure 10 shows an example where multiple emotions such as "reassured," "calm," and "confident" have similar emotion values.

[1000] The above description primarily focuses on the functions of the data processing device 12 in relation to this disclosure. However, the system related to this disclosure is not necessarily implemented on a server. The system related to this disclosure may be implemented as a general information processing system. This disclosure may be implemented, for example, as a software program that runs on a personal computer or as an application that runs on a smartphone. The method related to this disclosure may be provided to users in SaaS (Software as a Service) format.

[1001] In the above embodiment, an example was given in which a specific process is performed by a single computer 22. However, the technology of this disclosure is not limited thereto, and a distributed processing of the specific process may be performed by multiple computers, including computer 22. For example, a data generation model 58 may be provided in an external device of the data processing device 12, and the external device may generate data according to the input data.

[1002] In the above embodiment, an example was given in which the specific processing program 56 is stored in the storage 32, but the technology of this disclosure is not limited thereto. For example, the specific processing program 56 may be stored in a portable, computer-readable, non-temporary storage medium such as a USB (Universal Serial Bus) memory. The specific processing program 56 stored in the non-temporary storage medium is installed in the computer 22 of the data processing device 12. The processor 28 executes specific processing according to the specific processing program 56.

[1003] Alternatively, the specific processing program 56 may be stored in a storage device such as a server connected to the data processing device 12 via the network 54, and the specific processing program 56 may be downloaded and installed on the computer 22 in response to a request from the data processing device 12.

[1004] Furthermore, it is not necessary to store the entirety of the specific processing program 56 in a storage device such as a server connected to the data processing device 12 via the network 54, or to store the entirety of the specific processing program 56 in the storage 32; it is acceptable to store only a portion of the specific processing program 56.

[1005] The following types of processors can be used as hardware resources to perform specific processing. Examples of processors include a CPU, a general-purpose processor that functions as a hardware resource to perform specific processing by executing software, i.e., a program. Other examples of processors include dedicated electrical circuits, such as FPGAs (Field-Programmable Gate Arrays), PLDs (Programmable Logic Devices), or ASICs (Application Specific Integrated Circuits), which have circuit configurations specifically designed to perform specific processing. All of these processors have built-in or connected memory, and all of them perform specific processing by using memory.

[1006] The hardware resource that performs a specific process may consist of one of these various processors, or it may consist of a combination of two or more processors of the same or different types (for example, a combination of multiple FPGAs, or a combination of a CPU and an FPGA). Alternatively, the hardware resource that performs a specific process may consist of a single processor.

[1007] Examples of configurations using a single processor include, firstly, a configuration in which one or more CPUs and software are combined to form a single processor, and this processor functions as a hardware resource that performs a specific process. Secondly, there is a configuration using a processor that realizes the functions of the entire system, including multiple hardware resources that perform a specific process, on a single IC chip, as exemplified by SoCs (System-on-a-chip). In this way, a specific process is realized using one or more of the above types of processors as hardware resources.

[1008] Furthermore, the hardware structure of these various processors can more specifically utilize electrical circuits that combine circuit elements such as semiconductor devices. Also, the specific processing described above is merely an example. Therefore, it goes without saying that unnecessary steps can be deleted, new steps added, or the processing order rearranged, as long as it does not deviate from the main purpose.

[1009] The descriptions and illustrations presented above are detailed explanations of the technical aspects of this disclosure and are merely examples of the technical aspects. For example, the above descriptions of the structure, function, operation, and effect are examples of the structure, function, operation, and effect of the technical aspects of this disclosure. Therefore, it goes without saying that you may delete unnecessary parts, add new elements, or replace elements in the descriptions and illustrations presented above, as long as you do not deviate from the essence of the technical aspects of this disclosure. Furthermore, in order to avoid confusion and facilitate understanding of the technical aspects of this disclosure, explanations of common technical knowledge and the like that do not require special explanation to enable the implementation of the technical aspects of this disclosure have been omitted from the descriptions and illustrations presented above.

[1010] All documents, patent applications, and technical standards described herein are incorporated by reference to the same extent as if each individual document, patent application, and technical standard were specifically and individually noted to be incorporated by reference.

[1011] The following is further disclosed regarding the embodiments described above.

[1012] (Claim 1)

[1013] A means for automatically generating objects and environments in a virtual space using generative AI technology,

[1014] A means of customizing the experience in a virtual space based on user input,

[1015] A means of collecting user feedback and improving the virtual space using generative AI technology,

[1016] A system that includes this.

[1017] (Claim 2)

[1018] The system according to claim 1, which analyzes user behavior data and provides a virtual experience optimized for the user's preferences.

[1019] (Claim 3)

[1020] The system according to claim 1, which tracks user input and changes the rendering of the virtual space in real time in response to that input.

[1021] "Example 1"

[1022] (Claim 1)

[1023] A means for automatically constructing objects and situations within a virtual environment using a generation algorithm,

[1024] A means of personalizing the experience within a virtual environment based on user input,

[1025] A means of collecting user feedback and improving the virtual environment using a generation algorithm,

[1026] A means of tracking user input information in a virtual environment and changing its depiction in real time,

[1027] A means for analyzing user behavior information in a virtual environment and optimizing the user experience based on that information,

[1028] A system that includes this.

[1029] (Claim 2)

[1030] The system according to claim 1, which takes into account the user's past choices and evaluation information to provide an optimal virtual experience.

[1031] (Claim 3)

[1032] The system according to claim 1, which analyzes the opinions provided by users after the end of the experience and improves the generation algorithm.

[1033] "Application Example 1"

[1034] (Claim 1)

[1035] A means for automatically generating information and scenes in a virtual space using generative AI technology,

[1036] A means of customizing the experience in a virtual space based on user input,

[1037] A means of collecting user feedback and improving the virtual space using generative AI technology,

[1038] A means of transmitting a real-time generated depiction of a virtual space through a user interface,

[1039] A means of dynamically changing the story or scenario based on user input,

[1040] A system that includes this.

[1041] (Claim 2)

[1042] The system according to claim 1, which provides a customized flow to the user in a content distribution service that utilizes a virtual environment generated according to the user's selection.

[1043] (Claim 3)

[1044] The system according to claim 1, which analyzes user input and adjusts the rendering of the virtual space in real time so that new scene selections and operations are immediately reflected.

[1045] "Example 2 of combining an emotion engine"

[1046] (Claim 1)

[1047] A means of detecting and collecting user emotional and behavioral information,

[1048] A means for automatically generating and adjusting a virtual environment based on the user's emotional state using generative AI technology and emotion analysis functions,

[1049] A means of analyzing emotional information obtained from users and making necessary adjustments within the virtual space,

[1050] A means of collecting user feedback and using that feedback to optimize the virtual space,

[1051] A system that includes this.

[1052] (Claim 2)

[1053] The system according to claim 1, which personalizes the experience and improves user satisfaction by adding elements based on the user's emotional state to the virtual environment.

[1054] (Claim 3)

[1055] The system according to claim 1, which adjusts the virtual space in real time based on the user's emotional information and behavioral information.

[1056] "Application example 2 when combining with an emotional engine"

[1057] (Claim 1)

[1058] A means for automatically generating objects and environments in a virtual space using generative AI technology,

[1059] A means of dynamically adjusting the experience in a virtual space based on the user's emotional information,

[1060] A means of collecting user evaluation information and improving the virtual space using generative AI technology,

[1061] A method for analyzing user emotional information and changing product recommendations and the environment to match the user's emotional state,

[1062] A system that includes this.

[1063] (Claim 2)

[1064] The system according to claim 1, which analyzes user behavior and emotional information and provides a virtual experience optimized for the user's preferences and emotions.

[1065] (Claim 3)

[1066] The system according to claim 1, which tracks user information, modifies the rendering of the virtual space in real time according to that information, and provides a more appropriate experience based on emotional information. [Explanation of Symbols]

[1067] 10, 210, 310, 410 Data Processing Systems 12 Data Processing Devices 14 Smart Devices 214 Smart Glasses 314 Headset-type terminal 414 Robots< / url:> < / url:> < / url:> < / url:>

Claims

1. A means for automatically generating objects and environments in a virtual space using generative AI technology, A means of customizing the experience in a virtual space based on user input, A means of collecting user feedback and improving the virtual space using generative AI technology, A system that includes this.

2. The system according to claim 1, which analyzes user behavior data and provides a virtual experience optimized for the user's preferences.

3. The system according to claim 1, which tracks user input and changes the rendering of the virtual space in real time according to that input.

Images